Eli Lilly (LLY) Depreciation and Depletion (2014 - 2015)
Eli Lilly's Depreciation and Depletion came in at $1.31 billion for FY2025, up 24.2% from $1.06 billion in FY2024.
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Analysis
Eli Lilly (LLY) Depreciation and Depletion (2014 - 2015) Analysis & Trends
Going back to FY2009, Eli Lilly's Depreciation and Depletion data covers 17 years.
- Depreciation and Depletion has increased in each of the last five years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Depreciation and Depletion in data going back to FY2009.
- Per Business Quant, earlier years put Depreciation and Depletion at $1.06 billion in FY2024 (+17.3%), $902 million in FY2023 (+10.5%), $816.6 million in FY2022 (+3.8%) and $787 million in FY2021 (+2.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 216.60 Mn |
| Mar 31, 2015 | 204.80 Mn |
| Jun 30, 2014 | 216.30 Mn |
| Mar 31, 2014 | 220.00 Mn |
API Access
Eli Lilly Depreciation and Depletion 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=depreciation-and-depletion&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();