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Dave Ricks, CEO of Eli Lilly | The All-In Interview

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Dave Ricks, CEO of Eli Lilly | The All-In Interview

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1708 segments

0:00

I'm

0:01

going all right besties I think that was

0:04

another epic discussion people love the

0:06

interviews I could hear him talk for

0:08

hours absolutely we crush your questions

0:11

admit it we are giving people ground

0:12

truth data to underwrite your own

0:14

opinion what you guys think that was fun

0:18

pal Dave Ricks welcome to the Allin

0:21

interview great to be here yeah we had

0:24

dinner together a couple of months ago

0:26

and I've been in touch and obviously I'm

0:28

really excited to talk to you uh today

0:31

about the work you're doing at Eli ly so

0:33

just for the audience Dave is the CEO of

0:35

Eli ly which is the world's most

0:37

valuable pharmaceutical company and the

0:39

leader in the glp1 uh drug Market which

0:42

some analysts have said could grow to as

0:44

much as 150 billion in annual revenue

0:46

over the next 10 years really kind of an

0:49

extraordinary story and Dave you became

0:51

CEO of Lily in January 2017 when Lily

0:55

had a market cap of just $70 billion

0:58

following a year of 20 billion in

1:00

revenue and three and a half in

1:01

operating income and today Lily's Market

1:04

Cap is an astounding $878 billion and

1:07

the company's projected to do 46 billion

1:10

in revenue and 15 billion in operating

1:12

income this year and few companies in

1:14

history I'd say have seen such an

1:15

extraordinary rise in Revenue profit

1:18

market value at this scale maybe Nvidia

1:21

recently which I'd say is the only

1:23

company that kind of beat your

1:24

performance in recent years but I don't

1:26

know of any that are not founder Le

1:28

maybe SAA running Microsoft

1:30

but it took him a little bit longer and

1:32

so today I'm really excited to talk to

1:34

you about the work you're doing at Lily

1:36

The Chronic health problem of obesity

1:38

and diabetes gp1s and what's happening

1:42

in that market what those uh products do

1:45

and The Business of Eli Lily so thanks

1:47

so much for being here da yeah excited

1:50

to be here I'm a big fan of the Pod so

1:52

I'm I'm excited to be on that's great um

1:55

sorry you don't get uh harassed by the

1:56

other three today it's just me uh so

1:58

this is a an extended science corner for

2:00

all the Nerds at home that wanted it

2:02

with a a deep dive on on an amazing

2:04

business so we'll start off by talking

2:07

about the the The Chronic Health

2:08

epidemic of obesity according to this

2:10

CDC 74% of Americans are now overweight

2:13

or clinically obese your statistics

2:15

might be different this condition is

2:17

driving what is arguably the largest

2:19

Health epidemic in human history obesity

2:22

and all the associated diseases like

2:24

type 2 diabetes have so many negative

2:26

Health implications for our

2:28

populations and this is dramatically

2:31

over the past 50 years is becoming a

2:33

global problem so let me pull up a

2:34

couple of images we can use as we have

2:36

this conversation here Dave and will

2:38

dialogue about this but obviously what

2:40

humans eat what we consume has changed

2:42

dramatically particularly here in the US

2:44

we've seen the American diet a shift to

2:47

a much more kind of caloric lower

2:50

nutrient density diet over the last 50

2:52

years the average daily calorie consumed

2:55

by Americans since 1961 has driven up

2:58

from 2800 to about 3600 and you know

3:02

that sounds like a small number but when

3:03

you add it up over 365 days a year it

3:06

leads to a pretty dramatic increase in

3:10

in obesity rates this is a great chart

3:12

that shows how the availability of

3:14

calories and the consumption of calories

3:15

in a population significantly correlates

3:19

with the rate of

3:21

obesity in that particular country and

3:24

the United States obviously has the

3:26

largest caloric supply of any developed

3:29

nation and also has the highest

3:32

percentage of people that are overweight

3:34

or obese and I would argue that many of

3:36

the improvements that we've seen in

3:37

agricultural technology and many of the

3:40

systems um in in food that have made

3:43

calories cheaper have resulted in this

3:46

kind of surplus problem that has led to

3:48

an obesity epidemic and just looking at

3:51

the US rates over the last 20 25 years

3:54

you know we see today as I mentioned

3:56

before 75% of people overweight or obese

3:59

and in this particular

4:00

slide we're showing 35% of obese and

4:03

severe obese to today 51% of Americans

4:07

are either obese or severely obese

4:09

really

4:11

extraordinary and this is not just in

4:13

the US as the calorie supplies increased

4:14

around the world we see obesity rates

4:17

climbing in every developed Nation from

4:19

Brazil to Mexico and now even recently

4:22

in India and so this is becoming a

4:24

global problem and I think you know Dave

4:26

maybe you could talk a little bit about

4:27

the scale of the problem I think you've

4:30

highlighted a lot of this in your

4:31

investor presentations and and this is

4:33

one of your slides that you've used so

4:34

maybe you can kind of share how you guys

4:36

forecast the Obesity epidemic and and

4:40

the effect it's having

4:41

worldwide yeah that's a great

4:43

backgrounder to get us kicked off you

4:46

know one thing just pointing out on the

4:47

data you showed some people notice a

4:49

difference in the caloric intake numbers

4:52

versus the um kind of the macronutrient

4:55

micronutrient story you go back yeah so

4:57

like the the severe obesity particular

5:00

kicking up here on the next slide there

5:03

um yeah kicking up almost doubling right

5:05

in the last 20 years whereas caloric

5:07

intake certainly isn't moving at that

5:09

same rate so you know I think as we

5:12

think about the problem of course um

5:14

excess calories versus expenditure is a

5:16

key part but so is probably the ultr

5:20

processed food story which you didn't

5:22

have data on there but is you know I

5:24

think in the US we're now eating

5:26

two-thirds of our calories in our

5:27

country are ultr processed yeah and that

5:30

compares to like 35% in Europe so that's

5:34

got to be part of this equation as well

5:36

but no matter the cause like if you go

5:38

to that first slide I had we now see

5:40

about a billion people on the planet

5:43

with clinical obesity or overweight and

5:47

as you're pointing out probably that's

5:49

um going to grow a lot more in the

5:51

developed or developing world than the

5:54

developed world there's a function of

5:56

wealth accumulation and um Surplus uh

5:59

food

6:00

abundance basically that will drive this

6:02

India I think is 11% of the population's

6:05

obese but projected to go as much as 30%

6:08

in the next 20 years so on that

6:10

population base that alone would would

6:12

add almost half a billion people um to

6:15

this this chart yeah so your projection

6:18

is obesity worldwide will affect about a

6:23

billion people by 2030 is that right

6:26

yeah that's right yeah yeah and the

6:28

problem with obesity is that it has an

6:30

effect on many of uh the the systems of

6:35

the human body maybe you can highlight

6:37

kind of how obesity uh you know causes

6:40

many of The Chronic health conditions

6:42

and ailments that simply weren't around

6:44

maybe hundred years ago but are

6:45

certainly becoming far more frequent

6:48

today yeah absolutely I mean the first

6:50

order effect of course is on your

6:51

metabolic processes in here you like

6:53

like cardiovascular disease how we

6:54

process lipids and other energy sources

6:57

that leads to cardiovascular disease and

7:00

its um other Associated risk like stroke

7:03

um I mean there's a pretty new disease

7:06

here called under the liver disease

7:08

which is what's used to be called Nash

7:10

is now confusingly called Mash but it's

7:13

the same disease it's fatty liver

7:14

disease and 30 years ago like clinically

7:17

you couldn't really find this in the

7:20

adult population and now it's one of the

7:22

most common conditions obese people

7:25

suffer from and it ends up in fibrosis

7:27

of the liver and as you know like we

7:29

have a lot of every organ that's

7:30

important we have redundancy and except

7:32

the liver so when your liver goes south

7:35

it's a bad news story for human health

7:38

transplant is is the only escape from

7:40

that um we've got some used to be a that

7:43

used to be a disease limited to severe

7:45

alcoholism right exactly and and this

7:48

the Nash word is actually starts with

7:51

non-alcoholic yeah fatty liver so but

7:54

now there's much more um obesity-driven

7:56

fatty liver than any other cause as

7:59

pointing out but it results in

8:01

transplant and terrible uh outcomes long

8:03

term so so much of the the health

8:07

problems The Chronic health issues that

8:08

we deal with as a modern society are

8:12

probably rooted many of them are rooted

8:14

in the Obesity epidemic yeah so 230

8:18

diseases have have been connected and

8:20

you have these these ones that are more

8:21

like directly because of the caloric

8:23

imbalance and fat accumulation and then

8:26

you have these ones in blue are sort of

8:28

like derivative like obstructive sleep

8:31

apnea that's like 14 million Americans

8:33

have cpat machines and why because

8:35

there's so much um fat accumulation

8:38

around your respiratory system you you

8:39

wake yourself up at night to

8:41

breathe and gird of course that's you

8:44

know reflux Etc so these are like more

8:47

the second order effect and then

8:48

interestingly you've got the mood

8:50

anxiety pieces here there's an

8:52

interesting study done by epic you know

8:55

they're the big health record company

8:57

yeah which is retrospective and not

8:59

tightly controlled but it showed people

9:01

on gop1 drugs incron had remarkably

9:04

lower rates of new clinical depression

9:07

diagnosis which is an interesting thing

9:09

as well so a lot of lot of

9:13

impact like type two diabetes itself

9:16

which is an inability for the body to

9:18

respond with an appropriate amount of

9:20

insulin when there's glucose in the

9:22

blood itself has a number of follow-on

9:25

effects obviously diabetes as as many

9:27

know um has become own a chronic Health

9:31

epidemic it can

9:33

cause nephropathy so damage to the

9:36

kidneys which has a significant effect

9:39

on our ability to regulate protein in

9:42

our body diabetic retinopathy

9:44

hemorrhaging in the eyes uh that

9:45

ultimately can lead to to blindness so

9:47

having too much blood sugar and not

9:49

having an ability to produce enough

9:52

insulin to bring down the blood sugar

9:53

level can can lead to all these chronic

9:55

health effects which have

9:58

obious yeah those are the microvascular

10:00

ones there's the I mean the the risk of

10:02

heart attack if you have type two

10:03

diabetes is four times people who don't

10:05

have diabetes yeah so you also have the

10:09

macrovascular events stroke heart attack

10:11

okay so the treatment for diabetes used

10:14

to be insulin right and insulin and if I

10:18

remember the history of Eli Lily

10:20

correctly Eli Lily was the first

10:22

American company uh to produce insulin

10:26

which was done with initially

10:30

processing I believe pigs or cows uh to

10:33

to to to get the insulin both yeah yeah

10:35

it's an interesting story so we were the

10:36

first company period um there's a Danish

10:39

company Novo who's our competitor in

10:41

this space we can come back to that

10:42

because it's not a

10:44

coincidence that I remember the history

10:46

of of the relationship it's a really

10:48

interesting history between the two

10:49

companies but kind of intertwined yeah

10:51

but we we had a like our head of science

10:53

uh met with Toronto this researchers up

10:56

there who discovered the mo the

10:57

mechanism of insulin but they couldn't

10:59

make get into a medicine we produced the

11:01

process that made it available at scale

11:03

which as you're pointing out was derived

11:06

from like a lot of the you know the

11:07

history of our industry was like taking

11:09

things in nature and refining them into

11:11

medicine and that was the case with

11:13

insulin we took something in nature the

11:15

pancreases of slaughtered meat animals

11:18

really cows and pigs and essentially

11:21

refined out of that the protein which is

11:24

insulin and that was the case until 1981

11:28

where we had partnered with Genentech to

11:30

do another first which is create the

11:32

first biotechnology product on planet

11:33

Earth which was human insulin made in a

11:37

in a bacterial cell yeah so in in that

11:40

case that was the first Rec combinant

11:42

biologic product right it was pudding

11:45

the genetic the genetic code from human

11:48

DNA that codes for human insulin into an

11:51

ecoli bacteria then you put that ecoli

11:53

bacteria in a giant vat and just like we

11:55

ferment wine we put sugar in and it

11:57

started to make insulin and that's how

11:59

we make insulin around the world today

12:02

is through that recent process right

12:04

yeah that's right still and that was the

12:05

first DNA based product made and it

12:08

solved a problem because we were

12:09

actually we had we had per the Obesity

12:11

discussion Rising type two diabetes

12:14

rates it used to be type 1 diabetes

12:16

which is the childhood form that's

12:18

really autoimmune disease um was most of

12:21

the diabetes that needed insulin but as

12:23

this uh you know abundancy grew and

12:25

people got heavier we saw earlier and

12:27

earlier onset type 2 diabetes which is

12:29

the adult form right and we we worried

12:31

we're going to run out of animals to

12:33

slaughtered animal pancreases to refine

12:36

so it wasn't just a cool science thing

12:38

it was actually solving a pretty big

12:39

public health problem which was the risk

12:41

of scarcity of insulin yeah yeah and so

12:45

look I mean biotech to the to the rescue

12:47

and we'll talk more about biologic drugs

12:50

and all the other things that that have

12:52

been addressed with recombinant systems

12:56

meaning we put DNA in microbes and get

12:57

those microbes to make a protein for us

12:59

and obviously there's been a lot of

13:01

advancements in that space it's probably

13:03

worth you know hundreds of billions of

13:05

dollars today but um let's let's fast

13:08

forward to what happened after

13:10

insulin it sounds like in the history of

13:12

of research into diabetes and

13:15

understanding some of these underlying

13:17

mechanisms uh there was this discovery

13:20

of

13:20

glp1 at one point and let me try and

13:23

explain it and you tell me if I get it

13:24

right but okay

13:26

glp1 it sounds like is a protein that is

13:31

expressed by L cells these are little

13:33

cells in the small intestine of a human

13:36

so when we eat food those cells

13:38

recognize that there's food in the

13:41

intestines and they pump out a protein

13:44

called gp1 and that protein goes into

13:47

the bloodstream and flows all over our

13:49

body and turns on and off different

13:53

parts of different cells telling them

13:56

hey there's food in the in the

13:57

intestines so tells your brain don't be

14:00

hungry but it also has other effects

14:03

like secreting insulin getting cells to

14:05

make insulin and as a result glp1 is

14:08

what's called a hormone it's a regulator

14:10

of all these different cells to do

14:12

things when our intestines are full of

14:14

food is that an accurate way of kind of

14:16

describing what a glp what the glp1

14:19

protein is yeah that was perfect I would

14:21

just step back one step though and say

14:23

there's a broad there's like a super

14:24

family of these things and this going to

14:26

come up later in the when we talk about

14:27

the drugs which we call incron and this

14:30

was derived from a even earlier on your

14:32

chart here in the 70s they observed that

14:35

if you give someone nutrients

14:38

intervenous meaning it bypasses the GI

14:40

system that you have a higher spike in

14:44

glucose than if you give it via the GI

14:47

track so that's a curiosity right which

14:49

is why is that the GI track was doing

14:51

something and they call that the inchron

14:53

effect and later we found out that

14:55

there's a whole family a super family

14:57

really of these hormones signaling tools

15:00

that are telling your body when you're

15:02

fed to do different things that makes a

15:04

lot of sense because to survive as

15:06

humans feeding is like one of the top

15:08

three essential processes next to

15:10

breathing and other things and so

15:12

there's a lot of redundancy but also uh

15:15

different hormones for different chores

15:16

and gop1 was the first one that was made

15:18

into a drug and so in 1987 it was

15:22

discovered that gp1 actually stimulates

15:24

insulin production insulin

15:26

secretion and and then it was isolated

15:29

and um

15:32

ultimately I mean maybe you can tell us

15:33

the history I think there was a story

15:35

about Nova Nordisk and noo having some

15:38

um some role and some of the early work

15:40

with glp1 versus Lily and and tell us a

15:43

little bit about the history and like

15:45

what took so long for gp1s to go from

15:49

hey it stimulates insulin secretion in

15:51

1987 to kind of getting these first

15:53

drugs on market for gp1 yeah it's a

15:56

great question both companies played

15:58

around with this me ISM right after that

15:59

paper was published in '87 and as I said

16:02

back to the insulin story it's not

16:03

really an accident because we were two

16:05

companies very focused on making

16:07

peptides and and diabetes right so this

16:09

was a good thing to chase but gop1 in

16:12

its native form is not peptides are a

16:15

small molecule small protein right just

16:17

just smaller protein yeah less amino

16:19

acids in a chain um which is what we

16:21

call gop1 really it's smaller than a

16:23

protein it's a hormone but but also

16:25

called a peptide but we when you give it

16:28

in its native form as a medicine it has

16:30

a halflife of like minutes so you'd have

16:33

to have continuous infusion in your life

16:35

to use gp1s in the human form as it was

16:38

designed and of course we have plenty we

16:41

can make it ourselves um inside our

16:43

bodies but if you give it exogenously or

16:45

from outside that you need a drug that

16:47

lasts longer than a few minutes so you

16:49

know both companies set to work on that

16:51

problem it was actually Lily that

16:52

launched the first gp1 drug called

16:55

exenatide which was this strange Story

16:57

another sidebar of a company discovered

17:00

that in the saliva of a hila monster so

17:04

this is the

17:06

the desert yeah in their saliva is a is

17:10

basically a mimic of the go human gop1

17:13

it's close but not identical and the

17:16

amino acid change that it had made for

17:18

its purposes in saliva actually uh

17:22

prolonged its action in man to be more

17:25

like six or seven hours so this made for

17:28

twice a day injection and it was it

17:31

allowed us to lower blood sugar in

17:33

people with diabetes and it was super

17:34

successful it also we noticed as happens

17:37

in drug development that you lost a

17:40

little bit of weight with this and we

17:41

know in type two diabetes that was good

17:43

in the background Nova was working on

17:45

their own once a day version and they

17:47

engineered it versus found it in nature

17:50

then Lily uh made a once a week form

17:52

called Doula glutide which is now

17:54

marketed as trulicity and then Nova made

17:56

a weekly one which is called OIC which

17:58

we all know the name of now and actually

18:01

you know in kind of uh not to nerd out

18:03

too much on drug kinetics but by going

18:06

from daily to weekly we were able to

18:08

dose higher and this is one of these

18:10

situations where the glucose effect

18:12

occurs at a lower dose than the weight

18:14

loss effect and we couldn't do that with

18:17

a daily or twice a day drug because the

18:20

side effects of these drugs which are

18:21

nausea and diarrhea they're unpleasant

18:23

are kind of a what we call a peak to

18:25

trough effect so you experience them

18:27

when there's a big change in the drug in

18:29

your body but when it's steady state you

18:32

we really reduce those symptoms so it

18:34

was really novo's Insight that we could

18:36

push up the dose of semaglutide that

18:39

allowed the Obesity kind of threshold to

18:41

be pushed and then of course we followed

18:43

that with our latest one tepati which is

18:45

known as mararo that's actually two

18:47

hormones together yeah well so so let me

18:50

just um take a step back I just for

18:52

folks that are listening to really

18:54

understand this so all proteins are made

18:57

from a chain like a beaded necklace of

19:00

amino acids being stuck together and

19:02

when they're put together that chain

19:03

kind of collapses into a a molecule

19:07

structure a protein structure and that

19:09

protein has some function because it's

19:11

got shapes and curves on it and it can

19:13

do things in the body it can bind to

19:14

things and they can do activities with

19:17

different cells but you don't

19:18

necessarily need to use that exact chain

19:20

of amino acids to get part of that

19:22

protein to bind somewhere else in the

19:25

body you can use things that look like

19:27

that protein and that's really the

19:29

effort in all of these what are called

19:32

glp1 agonists which are different than

19:36

glp1 itself they're different molecules

19:38

they're different proteins but they

19:40

combined and have the same sort of

19:41

activity so so there's this discovery

19:44

process this research process as I

19:47

understand it to to develop and identify

19:50

new proteins that can have a similar or

19:53

perhaps even a more beneficial effect

19:55

than gp1s in the body is that is that

19:58

kindir yeah that's right and I think you

20:00

know this story itself is going from

20:02

like finding the native human hormone

20:05

and then we found this accidentally this

20:08

one in nature that was what we call an

20:09

analog to it so it had a similar

20:11

function but with a different kinetics

20:14

different absorption rate and then Novo

20:16

actually uh engineered that in L glutide

20:19

so they designed that in and ever since

20:21

then we've been Engineering in different

20:24

changes in those amino acids those beads

20:26

to drive different types of function

20:29

the latest one being this sort of dual

20:30

acting one we have now which like both

20:33

ends think of a chain with both ends

20:35

with active Warhead versus just one in

20:37

right so over time in 1986 we kind of

20:40

realized hey gp1s stimulate insulin

20:43

secretion so this is super interesting

20:45

and all this research begins but since

20:48

then there have been a lot of

20:49

studies on how gp1s maybe are regulating

20:53

and affecting other organs in the human

20:56

body and you know I've got this chart up

20:59

here that shows the effect of

21:02

gp1 um and gp1 analoges on the brain on

21:05

the heart on the pancreas on the liver

21:08

there are all these kind of interesting

21:10

follow-on effects the human body is so

21:12

difficult to kind of map everything but

21:14

there's some intricate relationship and

21:16

cross-regulatory process that happens

21:18

between all of these different systems

21:20

of the human body so maybe you can talk

21:21

about the evolution in our understanding

21:25

on how gp1s and gp1 analoges maybe are

21:28

affecting other organs in the body not

21:31

just turning off hunger and not just

21:33

making more

21:34

insulin yeah so of course it's doing

21:36

those two things but as you're pointing

21:38

out you know the hormone is basically a

21:40

messenger right so as as you said

21:42

earlier it's telling your body you're

21:44

fed and with that um because nutrient

21:47

absorption is like a survival Instinct

21:49

and um we're pre-selected for that we're

21:52

good at then processing that signal and

21:53

acting differently so that includes um

21:56

you see like heart rate going up and um

21:59

lipid levels dropping uh in your

22:01

cardiovascular system and that's because

22:03

you're responding to that food the new

22:05

nutrients entered into into into your

22:07

body liver is a key part of metabolism

22:10

so there's tons of cross signaling into

22:12

the into the liver um and the pancreas

22:15

is the source of insulin amongst other

22:17

metabolic regulatory hormones so so what

22:19

we don't even fully understand yet

22:21

though David which is interesting is is

22:24

that there are primary effects of gop1

22:26

certainly we can reproduce like in a in

22:28

a a test tube or a cell system but then

22:31

there's a whole Myriad of other probably

22:33

secondary effects because there might be

22:35

intermediate signals we don't even know

22:37

about yet in this whole metabolic

22:40

process so some of the ones listed here

22:42

I don't think have been proven as Direct

22:43

effects many of the brain ones for

22:45

instance but uh clearly happen when you

22:48

overstimulate gop1 or give it

22:50

exogenously as a medicine and uh mostly

22:54

in our nutrient Rich environment we

22:56

covered earlier these tend to be good

22:58

things

22:59

because you're tamping down hunger and

23:01

you're improving absorption of the

23:03

nutrients you already have yeah so now

23:06

the topic to jure is hey we could use

23:08

gp1s not just for the indication of

23:10

obesity and diabetes but perhaps for

23:13

other health indications and maybe going

23:16

after other issues that people are

23:19

having problems with yeah I think I

23:21

think there two big stories one is that

23:23

the other is that it turns out gop1

23:25

isn't the only hormone that matters and

23:27

you're going to I mean we already have

23:29

tepati which is a whole another hormone

23:31

called Gip glucagon insulinotropic

23:34

peptide which is a complicated name but

23:36

has more of a bias toward fat release

23:39

and basically allowing your fat cells to

23:42

burn energy earlier in the starvation

23:44

cycle so as you're hungry kind of

23:47

unleashing fat energy versus just

23:49

squeezing it out of our muscles um which

23:52

is what your body does naturally as kind

23:55

of a survival Instinct and then we've

23:56

combined that into tepati next next up

23:58

is there's amaline based drugs that's

24:00

another gut hormone uh and glucagon

24:03

another one so we we've got triple

24:05

acting and all kinds of different ones

24:08

coming and that's a big part of the

24:10

Innovation story I think we'll figure

24:12

out through time which ones are best for

24:14

what maintenance is a big issue in this

24:16

class inducing more rapid weight loss in

24:19

people who are super obese you know if

24:21

you have a BMI 50 and you take tepati

24:23

our drug and you lose on average 23% of

24:26

your body weight you're still obese

24:28

right so we we need more potency for

24:31

those people but there's many people

24:32

have a BMI of 31 and heart risk they can

24:35

get their BMI to normal on tpde or

24:38

semaglutide but how do they keep it

24:39

there more easily versus a weekly

24:41

injection so that's another problem

24:43

being solved the second thing which

24:45

you're touching on is all the

24:47

indications to go after and as I

24:50

mentioned earlier there's more than 200

24:51

diseases that are tagged to obesity do

24:55

they all cause are they all caused by

24:57

obesity we don't know that yet they're

24:59

correlated but so far um in our studies

25:03

this category medicine's undefeated

25:05

we've never had an unsuccessful study in

25:07

measuring an outcome in a chronic

25:09

disease and that's probably because we

25:11

stacked the ones that were most possible

25:12

first or most confident in um but we're

25:15

working down that list currently Lily

25:17

has 105 studies going with tepati in

25:20

these other diseases wow so this is a

25:23

massive massive undertaking you know a

25:26

clinical trial like that takes a 100 or

25:28

200 million doll each so you can do the

25:30

math it's a it's a huge bet that we can

25:32

convert weight loss into sustained

25:35

health benefit in chronic disease yeah

25:37

so that's I mean I'm doing the math

25:39

that's 10 to 20 billion dollars you're

25:40

spending on clinical trials for and I

25:44

understand sleep apnea maybe Alzheimer's

25:46

chronic kidney disease sounds like lots

25:48

of different indications where you go

25:51

after a patient population you try

25:54

perhaps one of these combo therapies

25:56

these new combo therapies that you have

25:59

Y

25:59

and yeah right and then you see what the

26:02

results are and if it works

26:04

yeah a doctor can prescribe it right

26:07

yeah yeah exactly so there's one we just

26:08

read out which we'll end up submitting

26:10

which is um there's a lot of people you

26:12

and we all may know them in our life who

26:13

say oh I was told I have pre-diabetes

26:15

what is that that's you know otherwise

26:18

healthy middle-age adults who are

26:20

overweight right and what happens

26:22

diabetes like a lot of diseases it's not

26:24

a binary function it's a continuous

26:26

function you you begin to have

26:28

resistance to your own insulin because

26:31

of the stress being put on your fat

26:33

cells essentially from overeating and of

26:36

course reducing obesity might help that

26:39

and that's been tried without drugs with

26:41

you know diet and exercise and it works

26:43

so we replicated that we those results

26:45

and we just read that study out with

26:46

mjara which showed that three years on

26:49

our drug 94% fewer new diagnosis of

26:52

outright diabetes so that's a huge

26:54

national health problem and if we can

26:56

treat diabetes uh or obesity early in

26:59

the life we could potentially reduce

27:01

diabetes Downstream so all there's many

27:04

examples of these but we're going for

27:06

dozens and dozens of these kinds of use

27:08

cases for the technology so when that

27:10

gets approved when you go through your

27:11

clinical trial you get a positive

27:13

indication on the the the readout a

27:16

doctor can then prescribe that

27:18

particular drug for that that condition

27:22

and and then what insurance covers it I

27:24

mean just help us understand kind of how

27:26

how payment happens in this and

27:28

you know ultimately and we'll talk a

27:30

little bit about pricing in a second

27:33

yeah I mean so that now we move from

27:36

Clinical experiment and science to the

27:38

messy part of Health Care so you know in

27:42

America um I think we have a a strong

27:46

bias to reimburse things that are kind

27:48

of obvious and when things are new it's

27:51

harder what we see today with whether it

27:54

be Lily's products in this category or

27:57

noos is really broad acceptance of by

28:01

insurance and Healthcare practitioners

28:03

in treating outright diseases like

28:05

diabetes type two diabetes and probably

28:08

like these cardiovascular conditions

28:09

we're studying I think they'll be

28:11

adopted quickly and reimbursed quickly

28:13

but that's when you already have the

28:14

disease of course the real promise here

28:16

is to prevent those diseases but in

28:18

almost every case in this country we

28:20

don't really pay for prevention right so

28:23

um people who are obese and don't have

28:25

those conditions if you're say on

28:26

Medicare currently the rule of the

28:28

federal government is they won't pay for

28:30

these medications you have to get

28:32

diabetes before you can get the

28:34

drug which sounds pretty stupid and I

28:37

think it is but you know the evidence

28:40

needs needs to build our job is to

28:42

invest in that evidence base I just

28:43

spoke about so that we can show time and

28:46

time again that all these chronic

28:48

illnesses can be abated slowed or even

28:50

eliminated and in some cases even

28:53

reversed um if we can get people to lose

28:55

a dramatic amount of weight safely which

28:57

is what the drugs do that's you know in

29:00

the process of sort of getting that idea

29:03

adopted why why is that um controversial

29:06

because if I'm an actuary underwriting

29:09

the long-term cost of a patient or an

29:11

individual in a in a in a program in

29:13

insurance program I'm GNA look at that

29:15

patient I'm like or that person I'm

29:16

gonna say hey if they stay overweight

29:18

there's going to be four diseases

29:20

they're going to get over the next 30

29:21

years and I'm gonna have to pay for that

29:23

but if we can get them to lose the

29:24

weight I'm going to save all this money

29:26

shouldn't I want I have a financial

29:28

incentive an economic incentive to to

29:31

change that what's what's the

29:32

controversy there yeah I think you know

29:35

that's in process I was actually in a

29:37

big you know um investor of mind's

29:39

office a few weeks back and they said oh

29:42

the last company in here was a

29:43

reinsurance company and they're changing

29:44

their Actuarial tables yeah for people

29:47

who have are on these drugs which you

29:50

know I was like wow you know you're

29:51

making a difference when when that's

29:53

happening but it hasn't trickled through

29:54

the system I think there's a lot of

29:56

still stigma associated with obesity

29:58

frankly like social stigma and patients

30:01

report to us a lot of doctors won't even

30:03

use these drugs because they're they

30:05

think it's a it's a product of laziness

30:08

um and you know why people become obese

30:11

we don't really understand completely

30:12

yet why one person would and one person

30:14

wouldn't what we do know is once you

30:16

become overweight or obese losing that

30:18

weight as an adult is really difficult

30:22

some studies show like less than 5% of

30:24

people can reach a healthy body weight

30:26

on diet and exercise once obese so

30:29

that's a very ineffective standard of

30:31

care so today if I want to get tepati

30:35

for a weight loss which I think you guys

30:37

called Zep bound right yeah so um can I

30:41

go to my my health insurance company and

30:43

have them pay forward or am I paying out

30:45

of pocket depends on who you work for

30:47

Dave so um right now about 50% of the

30:52

employer sponsored insurance plans cover

30:54

it Lily covers it for we we cover the

30:57

Nova ones too um because we think

30:59

obesity is a disease those skew toward

31:02

you know companies with money basically

31:05

um you know I think health benefits are

31:08

part part of just attracting and

31:09

retaining employees so smaller

31:12

businesses businesses with lower margins

31:14

like retailers Etc really don't cover

31:17

these meds yet I think in five years

31:19

we'll look back and we'll say that was

31:20

crazy um once the evidence base is built

31:23

up and there's more adoption and less

31:26

stigma but right now that's the current

31:28

state so a lot of people do pay out of

31:30

pocket and we've got some work to do to

31:32

help them you know if you're the rule of

31:35

the land in the US is if your insurance

31:37

uh if you're in the federal benefit um

31:40

you can't even

31:41

accept uh savings cards from the

31:44

manufacturer but for those that have

31:46

have a commercial benefit like if you

31:47

work at an employer large employer like

31:50

a retailer that doesn't cover it we can

31:52

actually buy down your out of pocket

31:53

cost and we do that and so did I hear

31:55

correctly that you guys are doing a

31:57

directed consumer model as well is that

31:59

right yeah yeah yeah so to get at this

32:02

very problem of both stigma and cost you

32:05

know back um in January we launched what

32:08

we call Lily direct so people can go to

32:10

their doctor or use our tella Health

32:13

platform we have a bunch of Partners who

32:15

will see you as a physician and their

32:17

obesity specialist and they'll send the

32:18

prescription to Lily and we'll fulfill

32:21

it directly via male DTC this solves two

32:24

problems one is people can go to a place

32:26

where they're not stigmatized for being

32:27

over and two they always get it at the

32:29

same price and it's the lowest price

32:31

available to them there's a lot of

32:33

confusion in retail pharmacy about what

32:35

people should pay and there's some

32:36

pharmacies marking these drugs up

32:38

because of the supply issues is it a

32:41

thousand bucks a month is that right for

32:43

um t for list price list price we have a

32:47

a savings card program that's about $600

32:50

per month and then we also just launched

32:52

in the lowest two doses uh a vial form

32:56

which is a little easier for us to make

32:57

we can get into the supply issues here

32:59

maybe in this discussion too and that's

33:02

um

33:03

399 basically and 550 for those two

33:07

doses so almost you know 60% off still a

33:10

lot so what about the criticism and the

33:13

research that has shown that if you go

33:15

off of one of these drugs the weight

33:17

comes back and as a result we're kind of

33:20

going from a chronically ill population

33:22

to a chronically drug dependent

33:25

population how do we address that

33:27

concern and you know what is the change

33:30

that's needed over time for that not to

33:32

be the case isn't there an economic

33:34

incentive for Lily to always be you know

33:37

hoping that more people need the drug

33:38

more frequently because that's how you

33:40

guys make money and you know how do we

33:41

kind of talk about that change that's

33:43

that's coming and and whether you need

33:45

to be on it forever yeah yeah well I

33:48

mean our mission is to is not what you

33:51

said our mission is to solve human

33:52

health problems and ideally that would

33:55

be here where people could have a course

33:56

of therapy and then not have to take

33:58

medicine the the physiology of gop1 and

34:02

Gip right now that's not how it works

34:05

right if if you don't have them on board

34:07

your body res restores itself to its

34:10

previous position we yeah there is a

34:12

theory that if you sustain low body

34:15

weight for long enough you can kind of

34:17

reset your thermostat in a way and your

34:20

body will stop trying to defend what it

34:23

perceives as a starvation state which is

34:26

you you're not carrying as much weight

34:27

as you nor normally would but you know

34:29

we haven't had these drugs around long

34:30

enough to prove that out we also know

34:33

that some people um lose weight and then

34:36

do change everything about their life to

34:38

sustain that body weight and go off

34:40

successfully that's not uncommon but

34:42

it's not the most um probable outcome

34:45

for most so for now we need to take the

34:48

drugs longterm but we are working on

34:50

drugs in our pipeline that do uh seek to

34:53

reset uh the metabolic switch and using

34:57

like the Y is a mechanism it's a brain

34:59

mechanism that's thought that maybe you

35:01

could have a treatment course lose

35:02

weight and then reset um your your self

35:07

sort of that thermostat if you will of

35:08

what your body's supposed to weigh um

35:11

we're working on this problem but

35:13

understanding is like your base

35:15

metabolism drops so the number of

35:17

calories per day that your body is

35:18

burning to live goes down so if you stop

35:21

taking the drug and the hunger switch

35:24

gets slightly turned back on even if you

35:26

eat a healthy normally number of

35:28

calories per day 1500 2, 2500 you start

35:31

to gain weight again because your

35:32

metabolism has declined but what I've

35:34

heard from a lot of friends um I don't

35:37

want to call everyone a biohacker but it

35:39

definitely seems to be in kind of the

35:41

people that like to mess around and try

35:42

new things uh crowd is to kind of go on

35:46

and off so people are trying lower doses

35:48

they're they're trying the drug for a

35:49

period of time they do it once a month

35:51

once a week and then they kind of

35:52

maintain a healthy weight without

35:54

needing to be kind of um on the the

35:56

typical regular Cadence of the drug is

35:58

that something you guys are seeing more

36:00

frequently is that the steady state do

36:01

you think over

36:03

time we definitely see that in in in the

36:06

clinic and in in in practice by people

36:09

and you know back to the cost of course

36:11

people want to spend less money and if

36:13

that works for them you know there

36:14

certainly um and it's under do Dr

36:16

supervision we have no problem with that

36:18

we need to do more studies in the space

36:20

um you know what you have one drug on

36:21

here or not on here which is coming and

36:23

it may be the most important drug

36:26

because of the scale uh

36:28

ability which is it's called ororon it's

36:30

a it's a chemical drug so here not an

36:32

amino acid but a organic chemistry that

36:36

mimics that mimics the activating uh

36:39

part of the peptide um and so it's a

36:42

it's an oral gop1 um in our hands it's

36:45

about as good as as highd do semaglutide

36:48

and w're we're doing phase three right

36:51

now um so that will'll start to read out

36:53

next year the benefit of this is one

36:55

it's oral so it's a little easier to

36:57

take you don't have to refrigerate you

36:59

don't have to worry about the injection

37:00

you know some people don't like to

37:01

inject but the real thing is this is a

37:04

this is a product for the masses because

37:07

the systems we make these these drugs in

37:09

now are complicated to scale and that's

37:11

why there's been shortages you know we

37:13

have approvals in more than 40 countries

37:15

we haven't even launched in that's not a

37:17

normal thing for for a company that

37:19

wants to Max you can't make enough

37:20

product we can't make enough right and

37:23

because we want to satisfy the markets

37:24

we've already launched in so or for

37:26

apron which is this phase three project

37:28

is super key in that um we could both

37:32

Supply you know people who could get

37:34

away with just the worn hormone drug

37:36

glp1 and we're studying it as a

37:39

maintenance option as well which makes

37:41

kind of sense to go through the

37:43

injection lose more weight and then keep

37:45

it off with something uh a little easier

37:47

to take what's your sense on how this is

37:49

going to affect the food industry so a

37:52

lot of analysts have talked about hey

37:53

food companies are going to get damaged

37:55

by this I'm going to I'm an investor in

37:57

a company called super gut and we have a

37:59

high resistance starch fiber product

38:01

that we're now selling and having a lot

38:03

of success selling as a complement to

38:04

glp1 so you're you're on a gp1 or GP

38:07

drug you take this product and it kind

38:10

of can help you during that period of

38:12

time and it's a new category that seems

38:13

to be growing a lot of companies are

38:14

launching around this similar concept

38:17

now do you think this is changing the

38:18

food industry in the United States and

38:21

in the west and ultimately around the

38:22

world and I don't know if you talk talk

38:24

do you talk to CEOs of food companies do

38:26

they call you you doing to our business

38:28

like yeah I've got I've got a couple on

38:31

my board even but so you know I I I

38:35

think there are um certainly displacing

38:38

effects of this this category and I

38:40

think it's great news overall first is

38:42

the health things we talked about so

38:43

people will need you know uh less

38:46

diabetes products for sure they'll need

38:48

less other medicines we're do even doing

38:50

study in like OA pain in the knee

38:53

because a lot of knee Replacements are

38:55

in obese people and they get get painful

38:58

early in life uh knee pain and we hope

39:01

to show you can prolong that so that's a

39:03

sort of a knock on effect and then of

39:05

course food would be the next one you

39:06

think about I think you might know about

39:08

the study but last year Walmart did the

39:10

sort of what's in the cart study for

39:12

people on OIC or Monaro and it showed

39:14

they were buying about a third less

39:16

calories so that's a lot but that's

39:18

consistent with how the drugs work but

39:20

interestingly also few were salty snack

39:22

foods yes they buying more fruits and

39:25

vegetables shopping at the edge of the

39:26

store versus the center so that's

39:29

happening probably because we only have

39:31

10 or 11 million Americans on these

39:33

drugs it's not happening in an economic

39:35

scale that's really changing food

39:38

companies um bottom lines but you know

39:41

enterprising companies like the one you

39:42

mentioned you know protein shake

39:44

companies there's a lot of things

39:46

happening I went to a a Quick Serve

39:48

restaurant it was in California a few

39:50

weeks back and they actually had a like

39:52

a gop1 side menu that's what it was

39:55

called yeah exactly on these drugs use

39:58

these uh so you know it is it's having a

40:00

big social uh footprint yeah well I mean

40:04

here's your stock price so Eli LLY stock

40:07

I think may outperform I don't know it's

40:10

probably pretty close I with Nvidia it's

40:12

it's an an extraordinary stratospheric

40:15

rise and then just to look at how the

40:17

business operates today so you have this

40:19

portfolio of products that you're

40:21

developing but in the last quarter um

40:25

you did 11 billion in Revenue

40:28

and generated um 3 billion net profit I

40:31

think it's 3.7 of of operating profit

40:34

one of the the the key criticisms um and

40:37

this is one of the things I wanted to

40:39

get into was how do you address and how

40:41

do you deal with the political heat

40:45

associated with your success so you guys

40:47

are operating a business that is having

40:49

an extraordinary impact on people's

40:51

lives but you're also making an

40:53

incredible amount of money and in this

40:54

environment today that may be more

40:57

challenging to deal with than it ever

41:00

has been certain Senators that we shall

41:03

not name would look at this and say hey

41:04

you're making an 81% gross margin

41:07

selling these products to sick people

41:09

how can you justify that so maybe talk a

41:11

little bit about how you deal with the

41:13

political environment in the US around

41:16

the world as you are successful and are

41:19

projected to Triple the business over

41:21

the next couple of years here yeah well

41:23

it's it's obviously a top of list issue

41:25

for me every day maybe a couple things

41:27

there Dave so I mean first of all this

41:29

is a very long investment cycle business

41:32

um as we talked about earlier like we

41:34

launched the first gp1 drug in the world

41:35

in 2005 and since that time we've been

41:38

working for you know this kind of

41:40

performance because we took risk against

41:43

that idea right and refined it and

41:45

worked that problem and that it you know

41:48

I think that time scale is hard for

41:49

people to think about but also you know

41:51

the dollar scale of the R&D this year

41:53

we'll spend over 11 billion dollars on

41:56

R&D which is a meaningful uh it's like a

41:59

nation state scale like that's more than

42:01

the country of Germany um so we we're

42:05

pushing forward new medicines based on

42:08

the revenue of today's medicines and

42:10

that virtuous cycle is sometimes just

42:11

hard to articulate but when you get it

42:14

right you can have a big societal impact

42:15

so that's the first thing secondly you

42:17

know I think the pressure is a privilege

42:19

in a way it means we made something

42:21

useful enough that a lot of people

42:22

needed and want it and now our job is to

42:25

work with you know the Healthcare System

42:27

to sustainably adopt it and we do see

42:30

that as our responsibility to work with

42:33

you know politicians if that's who we

42:34

work with or um health plans or

42:36

employers to find a way to get this

42:39

medicine which we think is amazing to

42:41

eptide to so many people um and do it in

42:45

a way that's sustainable now hopefully

42:47

we've created enough value that the

42:49

certainly the the people are getting the

42:51

drug or benefiting that the health plans

42:53

are actually lowering costs in the long

42:55

term even that there may be an increase

42:56

in short term and that we make a

42:59

reasonable profit for our shareholders

43:00

and sustain R&D for the future so I

43:03

think that's what's happening here I

43:05

think this week actually Nova nordis our

43:07

competitor was hauled before Congress to

43:09

talk about this issue there's a lot of

43:12

other dysfunctions in the US system that

43:14

we could talk about in terms of how

43:15

inefficient healthc care is I mean here

43:18

is a medicine that could augment 100 200

43:22

adult diseases in a meaningful way it's

43:25

expensive yes probably net pricing uh

43:28

for us you know is going to be something

43:30

like three $4,000 a year in the steady

43:33

state per person but I think we'll

43:35

create more value than that we'll save

43:37

the system more money than that per year

43:38

per user that's what we should be aiming

43:41

for I think what's interesting about it

43:43

is the the the pro the biologic products

43:46

are the the molecules are advancing and

43:49

they're advancing in a in a a pretty

43:51

kind of steady

43:53

way the issue I think with insulin and

43:55

and there's obviously been a lot of

43:58

legislation and Regulatory and political

44:01

scrutiny around insulin pricing is it's

44:04

the same molecule and the price has just

44:07

gone up right this is this is the old

44:09

kind of pharmaceutical companies or bad

44:11

story is they've got a product that they

44:13

make for 10 cents and then they sell it

44:15

for 10 bucks then someone says let's

44:16

charge 100 they're like okay let's

44:17

charge 100 and so it's classified as

44:20

price gouging in this particular Market

44:23

you guys are certainly making a healthy

44:24

Market but the products are also

44:25

advancing there's new combination

44:27

therapies coming out and uh the oral

44:30

therapy so there's a lot of investment

44:31

in improving the overall landscape of

44:34

what's possible yeah let me address that

44:36

because I I took over in early 17 as you

44:38

mentioned and like that the insulin

44:40

pricing Scandal which Novo and Lily were

44:42

also Center of right was um hot and

44:46

heavy and I so I took a lot of personal

44:49

lessons from that but you know every day

44:52

since that we had reduced the price of

44:54

insulin even though you know we have

44:56

this weird system in the US where a lot

44:59

of our two-thirds of actually our gross

45:01

price goes to pbms and insurance company

45:05

so right of the gross price that's often

45:07

quoted the net for us is about a third

45:10

of that and in insulin it was even more

45:13

where does that money go well it's used

45:14

often to cross- subsidize other things

45:16

in healthcare so we have to unwind that

45:19

system if we really want to value

45:20

innovation and then the other thing

45:22

which is in this chart is and I

45:24

mentioned is some of that revenue from

45:26

insulin we Ed to invest in the next

45:27

generation of therapy whether it be

45:29

insulins which we're still investing in

45:31

new insulins or gop1 drugs which of

45:33

course we did um and that is hard to

45:36

articulate in the moment but it actually

45:38

produces good economic and social value

45:40

later yeah here though we we took those

45:43

lessons we launched at a 20% discount to

45:45

Nova's product even though we have

45:47

better efficacy data and we've only cut

45:49

the price since then and I think um we

45:51

see a kind of a generational opportunity

45:53

for the company to both be have the best

45:57

product so efficacy and quality but also

46:00

mass production and that requires a

46:02

pricing strategy consistent with that

46:04

well you've also invested a lot in

46:06

manufacturing in the United States right

46:07

didn't you just do like A5 billion doll

46:09

investment in Indiana to build new

46:11

facilities um yeah we're building the

46:13

largest API site in the history of the

46:14

United States in Indiana yeah so it's h

46:17

so I mean that's got to feel good to the

46:18

politicians too that this isn't like

46:20

yeah uh optimizing for cost but there's

46:22

also infrastructure being built so I've

46:25

got a lot of numbers on forast breakdown

46:27

of product I think like what's

46:29

interesting is just I don't know if

46:30

these numbers seem right but the

46:32

analysts are projecting that you're

46:35

20126 operating income numbers could

46:37

grow to $32 billion I mean it's just

46:40

such an incredible rise and that

46:41

obviously is the the pipeline of

46:43

indications the

46:45

pipeline of combo therapies new

46:48

modalities and that's up from 7 billion

46:51

last year I believe right so a 4X in 3

46:54

years at the scale of operating income

46:56

is really

46:57

incredible I hope they're right yeah Ian

47:01

good for you hard on this I heard that

47:03

there was like internal forecasts that I

47:07

won't reveal my source uh and all the

47:10

forecasts got kind of blown out like the

47:12

forecasts were too conservative in terms

47:15

of where you guys are at with tepati so

47:18

um I wouldn't be surprised if you did so

47:20

if we look look at the breakdown of

47:22

Lily's portfolio of Revenue today uh

47:26

it's very obvious that what we've just

47:28

been talking about the gp1 Gip drugs are

47:33

the vast majority of the portfolio and

47:35

expect it to be the vast contributor of

47:36

growth in the years ahead but maybe you

47:39

can tell me a little bit tell us a

47:40

little bit about how you think about the

47:43

portfolio of other opportunities to

47:45

address disease and how you're investing

47:48

there and how you know when you've got

47:49

such a blockbuster like this and you've

47:50

got a runaway train and you can't keep

47:52

up with demand how do you dedicate

47:54

resources to the rest of the portfolio

47:56

and how do you think about that as a CEO

47:58

as a leader in getting your team to

48:00

focus on other things that are also very

48:03

important yeah I think I mean that's a

48:05

key thing we spend a lot of time with

48:07

our board on you know on the one hand um

48:10

I think there's a lot of business books

48:12

you could read that say well double down

48:13

on your winners right and just keep

48:15

going but unlike other Industries you

48:17

know D we don't really have a franchise

48:19

value at the end of the patent life

48:21

right there when when drugs go off

48:24

patent you have to actually have a

48:25

better drug that competes with almost

48:28

free yeah and that's probably possible

48:31

one or two times here we're talking

48:33

about

48:34

monjaro trulicity our last or gop1 only

48:37

and semaglutide gop1 only will go

48:39

generic and we think we have enough

48:40

differentiation to keep growing through

48:42

that but at some point that story runs

48:44

out right and so on a time scale of

48:48

decades you need other lines in the

48:50

water um in a lot of ways this is like

48:52

an options business you know we we we

48:55

have to lay down bets across variety of

48:57

things they have to be you know real

48:59

unmet medical needs that you can get

49:01

paid if you have a solution for but also

49:04

you know the technology bet is it going

49:05

to work and how to attack that so my

49:08

mindset is we have to walk and chew gum

49:11

at the same time here we have to execute

49:13

like nobody else against this enormous

49:15

kind of not not even generational maybe

49:18

longer opportunity to build the company

49:21

affect human health and return Capital

49:23

to shareholders at the same time we l

49:26

has been around 148 years um I think we

49:29

have an obligation to our newest

49:31

employee just joined to have a business

49:33

by the time they get to a senior level

49:35

and we certainly have a role in the

49:37

world at changing human health so we are

49:39

investing pretty broadly in cancer and

49:42

Immunology maybe in brain disease is the

49:44

most important area we can invest more

49:46

in um because I think that's actually

49:48

becoming more tractable and is about 40%

49:51

of global suffering is some form of a

49:54

brain or or um Neuroscience dis disease

49:57

and we have a lot of expertise there so

50:00

a little bit of balance and a lot of

50:01

focus simultaneously and we divide our

50:04

organization so that we have four

50:06

Business Leaders and one of them is this

50:09

franchise we were just talking about

50:10

weight loss and cardiometabolic health

50:12

three others have other agendas and

50:15

their job is to compete and win that way

50:17

I'm proud that actually in Q2 Q2 are non

50:20

incron our non tepati uh business grew

50:24

17% on a pretty big base so a healthy

50:27

business as well more on the scale of a

50:29

regular Pharma company not the super

50:31

sized thing we become what are what

50:34

science are you excited about I don't

50:35

know if you're a big science nerd um as

50:38

much but yeah like yeah so the inchron

50:40

products are um you know uh it's peptide

50:43

manufacturing but obviously there's uh

50:46

cell therapies so programming cells to

50:48

go into the body and do things there's

50:49

Gene therapies where we have all sorts

50:52

of mechanisms for altering gene

50:55

expression and making you know prent

50:56

changes in in in human cells and um and

51:00

then there's all this interesting stuff

51:02

in that that I'm super fascinated by and

51:05

excited by like yamanaka factors these

51:07

factors that can have a profound effect

51:10

on the epigenome uh which can ultimately

51:12

change how how cells behave and

51:15

radically affect the process of Aging or

51:17

what we consider to be aging what else

51:19

are you excited about what's exciting in

51:20

the portfolio and how do you invest

51:22

internally versus do m&a versus venture

51:25

to kind of access those in you know

51:28

areas yeah well let me talk about the

51:29

science and I'll get to the investment

51:30

strategy but we've talked about diseases

51:33

here but you know we think about our our

51:35

role is like having a pallet of ways to

51:38

make medicines which are basically you

51:40

know new molecular matter against uh a

51:43

set of diseases we know something about

51:45

that's sort of when those things

51:46

converge we do well so what's in the

51:48

pallet I think that's been expanding

51:50

rapidly lately and I think this whole

51:52

new field of genetic medicine which you

51:55

talked about um like xvivo gene therapy

51:58

where you edit cells and they go do

51:59

things like cares or uh Gene edits

52:03

themselves or Gene inserts which are

52:05

exciting you know we had a um medicine

52:08

where we announced results this year

52:10

that is focused on inner

52:13

ear diseases of deafness basically

52:16

congenital deafness disorders that are

52:18

monogenic um and we we've treated

52:20

patients that have gone from like six

52:21

eight years of life no hearing at all to

52:23

now hearing I mean this is it is LA like

52:27

when you see it but the you know I think

52:29

the thing that excites me is when you

52:30

can do amazing things at massive scale

52:32

so those two techniques car and gene

52:35

therapy it's hard to think of like super

52:37

scaled millions of people benefiting one

52:41

new family of medicines I'm excited

52:43

about the so-called

52:44

sna this is where we can knock down

52:47

proteins that are aberant or causing

52:50

problems and do it pretty safely and

52:53

surgically um and do it very

52:55

infrequently so like we have a project

52:58

in phase three right now that knocks

53:00

down the production of something called

53:02

LP little a which is a lipoprotein

53:04

particle that's probably thought to be

53:07

about 25% of the remnant reasons why we

53:09

still have cardiovascular disease and

53:11

there's no medicine for it today this is

53:14

promises to be a once a year dose and so

53:18

you take this once a year and it's

53:19

catalytic in sales and it works and just

53:21

keeps knocking down this protein so if

53:23

that translates into outcomes I think

53:25

that makes for a big very scalable

53:27

business we could treat millions or a

53:29

billion people with a medicine like that

53:32

and have a big big effect so we're

53:34

playing around with that toolbox um

53:36

extensively these days so scale has to

53:39

scale matters right and then well that's

53:41

our Str I think that's what a Lily's for

53:43

right is to make things that aren't

53:44

Boutique but things that are everywhere

53:47

so you know how do we do this I mean we

53:50

we we have focused maybe more than

53:52

anyone else on a lot of small deals that

53:55

starts with our corpor Venture group so

53:57

we have one of the most scaled corporate

53:58

Venture operations in all of corporate

54:02

America hundreds and hundreds of bets

54:04

that are small in size usually we go

54:06

with you know with GPS as an LP and

54:09

invest in small biotechs pre pre uh

54:12

public and there we don't have to be so

54:14

right mostly we're trying to learn and

54:16

follow science and have a seat at the

54:18

board or a seat at the table so that

54:20

when things start to turn we can move

54:22

early um we do a lot of m&a last year

54:26

sorry you're both you're both an LP in

54:28

Venture funds and you write checks

54:30

direct is that right yeah both ways yeah

54:33

okay okay we also have a interesting

54:35

project we're growing I'm qu called

54:37

catalyze 360 and here the idea is beyond

54:40

money what else can we do to help

54:42

incubate small companies and so we have

54:44

both space but also a service layer

54:47

we're offering sometimes in a Cost Plus

54:49

way or sometimes for Downstream

54:51

royalties where you know we're a big

54:53

capable company when you're building a

54:54

new company like you've been doing in in

54:57

um a like sometimes you need something

54:59

that's a pain in the ass to go build you

55:01

have to either buy a consultant or hire

55:02

one person and you only need them for a

55:05

few few months so here we're stepping in

55:07

and say well we'll give you that consult

55:08

if you need to interpret a talkx result

55:10

like you can just call Lily's experts so

55:13

we're like a service layer to cultivate

55:15

kind of this ecosystem around us and

55:17

then we do m&a we buy companies last

55:19

year about two dozen which was the most

55:22

of any Pharma company but actually with

55:24

some of the least Capital deployed so

55:26

we're making um I think we spent three

55:28

billion dollars on 24 companies so we're

55:30

making lots of small bets right and I

55:33

think that is interesting because the

55:35

longer we have uh residents you know

55:38

sort of uh in a partnership or we own

55:40

something we can add more value it also

55:43

allows us to trade in front of the

55:45

drisking event when things get drisk in

55:48

our sector there's a huge inflection in

55:50

value yeah and so you're basically

55:52

paying the last shareholders not

55:53

yourself um we think we can bet better

55:56

than the market on what those the

55:59

probability of something converting to

56:01

to a success is and if we're right about

56:03

that we'll we'll be better off buying

56:05

early yeah well so as a lot is changing

56:09

at the company and you're you're at the

56:10

scale you're at and growing as fast as

56:12

you are how do you think about and this

56:15

was an important one I wanted to talk

56:16

about leadership and culture I've uh uh

56:19

someone that works with me at ohal uh

56:22

her name's uh Megan she worked at at

56:24

Lily for years and so we had a long chat

56:25

about this interview a few days ago and

56:27

she talked to me about how great the

56:28

culture is and 10,000 people on campus

56:31

in Indianapolis and it feels like a

56:32

college campus there's a track and field

56:35

there's a bar on campus all these sort

56:36

of things that make it a great place to

56:38

work and she was really torn by the way

56:39

in making a choice to go back to Lily or

56:41

joining me so I apologize that we that

56:43

we took her but um uh but uh um maybe

56:47

tell me a little bit about how you kind

56:48

of think about culture keeping people uh

56:50

aligned motivated keep the performance

56:52

culture strong as you're kind of trying

56:54

to execute at this extraordinary skill

56:56

scale yeah exceptional question I mean

56:59

that's of the things I worry about

57:01

longterm this is one of them how do we

57:02

keep what's so good about how we operate

57:05

yeah I mean the background of the

57:06

company is important it's an old company

57:08

right and it was family run for a

57:10

hundred years like it was one of the few

57:12

exceptions in Corporate America where

57:14

the third generation didn't totally

57:15

screw it up actually they made it quite

57:17

quite a bit quite a bit better um and

57:21

because of that I think there's a lot of

57:23

loyalty and social cohesion in the

57:25

company as you mentioned like we like

57:27

coming to work and being together it's a

57:29

friendly place but also scientifically

57:31

super rigorous um and that's a that's

57:33

often not two things that fly well

57:36

together so I think it's got a a lot of

57:38

exceptional attributes when I started

57:40

though I think in my kind of view of

57:41

like when you're running a big ship like

57:43

this probably changing the culture is

57:46

like beyond your your capability but

57:49

what you can do is like exent turn up

57:51

the things that are good and turn down

57:52

the things that are less good and we've

57:54

been cultivating that so like one thing

57:56

that was less good but is now really

57:58

clicking for us is sort of like use our

58:01

scale or enterprise-wide capability as a

58:04

as a benefit not a not a a detractor so

58:07

many companies get big and get

58:09

bureaucratic and terrible like I mean

58:11

they just can't get out of their own way

58:13

totally and we really lean into okay

58:15

it's everyone's job to solve for Lily

58:17

first it's everyone's job to get the

58:19

patient healthy now let's talk about our

58:22

departments as a derivative of that not

58:24

the main goal and somehow those things

58:26

get flipped around in big companies and

58:27

people focus on how they look or who's

58:30

which Department's best and none of that

58:32

matters and we have to emphasize that

58:34

another thing I've really focused on is

58:36

speed at scale and we measure that

58:38

rigorously that's more of an engineering

58:40

thing I mean we really track things very

58:43

carefully on speed and we've moved the

58:45

drug development timeline which the

58:47

industry is about nine years from first

58:50

human dose to FDA approval and when I

58:53

started ours was about 11 and now we're

58:56

6.1 so how did you how did you how did

58:58

you incentivize that how did you reward

59:00

that and create the model for

59:02

individuals to contribute to that goal

59:04

yeah kind of one big idea and then a

59:06

thousand little things the big idea is

59:07

like this ratchet mindset that every

59:10

time we beat a timeline that becomes the

59:12

new

59:13

norm and so we like just re Benchmark

59:16

internally and when we were at 11 and

59:18

every was as at nine everyone wants to

59:20

jump to be okay let's be industry

59:22

average but that's actually quite hard

59:24

in a big company so we just said okay if

59:26

it we have a submission document to get

59:28

in and it used to be our standard was

59:29

120 days from when you had the data to

59:32

when you send it to the FDA we're now

59:34

doing that routinely inside of two weeks

59:36

so we've basically taken 80% of the time

59:39

out but that came in lots of little

59:41

bites but overarching everyone who works

59:44

in development knows it's about time to

59:45

patient that's the that's the big idea

59:48

solve for that so yeah that's you know

59:51

those are some of the kind of culture

59:53

Dynamics we we deal with and of course

59:54

we want to attract new people we've

59:56

expanded dramatically on the coast our

59:58

science operations like if you go you

60:00

know South San Francisco is now a pretty

60:02

big campus for us we just built a huge

60:04

building in seport Boston that'll hold

60:06

500 genetic scientists so for some

60:10

domains we need to go where the people

60:11

are um and be more of a kind of a

60:14

Mothership of satellites versus having

60:16

everyone here in Indianapolis and do you

60:18

and I know we got to wrap in a minute

60:19

but and do you worry about AI there's a

60:21

lot of startups with very smart people

60:23

that have built uh llms and other models

60:26

that are now trying to apply those

60:27

learnings and develop new systems for

60:30

discovery of molecules that will have

60:32

some particular action and doing it all

60:35

in silico rather than searching through

60:37

the domain space of molecules that we're

60:39

either synthesizing or discovering in

60:40

nature and is that a partnership for you

60:43

at Lily because you guys can operate at

60:45

scale and manufacture and distribute and

60:47

Market or is that a disruptive force

60:49

that could really damage the the 20-

60:51

year out kind of horizon for Lily's

60:54

business how much do you really think or

60:55

worry about this

60:57

oh we spent a lot of time on this you

60:59

know of course we have our own efforts

61:01

um pretty significant AI efforts

61:03

internally and a lot of Partnerships

61:05

including with you know open Ai and

61:07

Microsoft Amazon Etc um all basically

61:10

all the the large scale players Google

61:14

isomorphic so we have to pay a lot of

61:16

attention to it here's what I noticed so

61:19

far is there's a lot of money I think

61:20

last year five billion with a B went

61:23

into new venture-backed tech bios you

61:25

you know that's what they like to call

61:27

themselves and that money is coming not

61:30

So Much from the traditional bio VC

61:32

world but from the tech world s people

61:35

got a lot more lot more to Splash around

61:37

right that's right but a lot of those I

61:39

think if you look at their their pitch

61:41

decks they're really saying oh we're

61:43

gonna invent we're going to run the

61:44

whole process in silico and I I think

61:47

that's really naive

61:50

actually and what I think will end up in

61:53

the medium term being very valuable is

61:55

more the tool Builder approach like we

61:57

can take a process like adme so that's

61:59

where you're trying to optimize chemical

62:01

properties of a drug like we're talking

62:03

about gop1 so it's not twice a day it's

62:04

once a week and there I think by

62:07

chunking problems smaller the machines

62:10

can really help a lot more we have more

62:12

data on some specific acute use cases

62:15

and um we can have a tighter Loop

62:17

between the experiment in the on the

62:19

bench and the data process behind the

62:23

the model learning the idea that you're

62:25

going to throw on you know turn a switch

62:27

on a computer and it's going to think

62:28

about something and invent you know the

62:30

next Prozac I don't know I I think we're

62:32

a long way from that day yeah but we

62:35

we're paying attention to all of it yeah

62:36

so wet lab and Clinic integration is

62:38

critical it's not all going to be in

62:39

silico there's going to

62:41

be a good chunk of the time yeah it's a

62:43

co-pilot model where the machine can do

62:45

predictions probably now where we see

62:47

the most value is eliminating bad ideas

62:50

that humans don't see but in hindsight

62:52

look obvious so like because it can

62:54

integrate a lot of multi Source data and

62:57

say the probability of this working

62:58

based on prior experiments is like 2%

63:01

yeah and there's human factors where

63:03

scientists like they their last idea the

63:04

most but also we have trouble seeing

63:07

across all this fi domains of data

63:09

machines are good at that that that can

63:11

add value immediately awesome well are

63:13

you glad you took the job seven and a

63:15

half years ago and uh what are you most

63:17

happy about and what's the biggest

63:18

disappointment last uh last question

63:21

here as we wrap up yeah of course I mean

63:24

what an honor to the company like this

63:26

at this moment um we all need to get

63:28

better all the time I mean I I find

63:30

myself disappointed

63:31

mostly by but not being prepared not

63:34

thinking in advance of of things but you

63:37

know it's um when you miss we become a

63:39

kind of a yeah that looks obvious in

63:42

hindsight which we all have it's a

63:44

complicated business you know I should

63:45

give myself Grace on it but it happens

63:47

more often than I would hope and I I

63:50

think that staying humble about that is

63:52

like one of the most important things

63:53

that successful CEOs can do I mean you

63:56

always have to learn and you always have

63:57

to learn from your own mistakes that's

63:59

something we talk about a lot here I you

64:02

know I think it's it's cool that we

64:03

become more of a cultural icon that's

64:05

cool but it's also a big responsibility

64:08

because like you said with the Lily

64:10

direct and you know being more of a

64:12

consumer household name people expect a

64:14

lot more of us and we've got to change

64:17

from being just like a Midwestern quiet

64:19

medicine company to something a lot more

64:22

and we're not there yet we have to we

64:24

have to get better so yeah more to do no

64:27

great well thanks so much for taking the

64:29

time to chat with me today Dave it's

64:30

been an honor and a pleasure and I wish

64:33

you the best of luck with Lily congrats

64:35

on on all the success thanks a lot we'll

64:37

have to have have you come out to our

64:39

lab sometime I will yeah no I'm uh next

64:41

time I'm in the midwest I will certainly

64:42

kick you up on that I'd love to come

64:43

visit be awesome

64:47

[Music]

64:51

awesome I'm going all in

Interactive Summary

Dave Ricks, CEO of Eli Lilly, discusses the company's extraordinary growth since 2017, becoming the world's most valuable pharmaceutical company and a leader in the GLP-1 drug market. He highlights the global obesity epidemic, affecting a projected billion people by 2030, and its connection to over 200 chronic diseases. The discussion delves into the history of GLP-1 discovery, its evolution from animal-derived insulin to engineered peptide and dual-agonist drugs like Mounjaro/Zepbound, and the ongoing research into its effects on various organs and potential new indications such as sleep apnea, Alzheimer's, and chronic kidney disease. Ricks addresses the challenges of insurance coverage for obesity as a disease, the ongoing political scrutiny over drug pricing, and Eli Lilly's substantial investment in R&D and manufacturing. He also touches on the company's culture, focus on speed in drug development, and strategy for investing in diverse scientific areas like genetic medicines and AI-driven discovery, while emphasizing the importance of scale and societal impact.

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