Eli Lilly (LLY) Buildings (2012 - 2024)
Eli Lilly (LLY) posted Buildings of $8.81 billion for Q4 2024, up 6.4% from $8.28 billion a year earlier.
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Analysis
Eli Lilly (LLY) Buildings (2012 - 2024) Analysis & Trends
Since Q4 2012, Eli Lilly has reported Buildings for 13 quarters.
- Annual Buildings has increased for five consecutive years, with a five-year compound annual growth rate of 4.5% (FY2019 to FY2024).
- In prior years, Eli Lilly's Buildings was $8.28 billion in FY2023 (+4.6%), $7.92 billion in FY2022 (+4.3%), $7.59 billion in FY2021 (+3.6%) and $7.33 billion in FY2020 (+3.7%).
- The Q4 2024 figure stands as the highest quarterly Buildings in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.06 Bn | 1,102.65 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 616.49 Bn | 535.01 Bn | 17.26 Bn |
| 3 | AbbVie | 501.55 Bn | 474.66 Bn | 12.70 Bn |
| 4 | Merck | 367.24 Bn | 321.62 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.99 Bn | 261.98 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.48 Bn | 235.17 Bn | 12.86 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.68 Bn | 164.87 Bn | 6.22 Bn |
| 9 | Pfizer | 169.35 Bn | 115.99 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 132.54 Bn | 104.55 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 8.81 Bn |
| Dec 31, 2023 | 8.28 Bn |
| Dec 31, 2022 | 7.92 Bn |
| Dec 31, 2021 | 7.59 Bn |
| Dec 31, 2020 | 7.33 Bn |
| Dec 31, 2019 | 7.07 Bn |
| Dec 31, 2018 | 7.12 Bn |
| Dec 31, 2017 | 7.43 Bn |
| Dec 31, 2016 | 6.92 Bn |
| Dec 31, 2015 | 6.79 Bn |
| Dec 31, 2014 | 6.52 Bn |
| Dec 31, 2013 | 6.49 Bn |
| Dec 31, 2012 | 6.37 Bn |
API Access
Eli Lilly Buildings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=buildings&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "LLY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();