Arvinas (ARVN) Depreciation and Depletion (2017 - 2025)
Arvinas' Depreciation and Depletion was $700,000 in Q1 2025, down 41.7% from $1.2 million a year earlier.
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Analysis
Arvinas (ARVN) Depreciation and Depletion (2017 - 2025) Analysis & Trends
On a trailing twelve-month basis, Arvinas' Depreciation and Depletion was $2.37 million through Mar 31, 2025, up 27.3% year-over-year; for FY2024, it was $4.6 million, down 4.2% from FY2023.
- Depreciation and Depletion shows a five-year compound annual growth rate of 23.5% (FY2019 to FY2024).
- In earlier years, Depreciation and Depletion was $4.8 million in FY2023 (-23.8%), $6.3 million in FY2022 (+31.3%), $4.8 million in FY2021 (+50.0%) and $3.2 million in FY2020 (+100.0%).
- The Q1 2025 figure marks the lowest quarterly Depreciation and Depletion since Q1 2019.
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 | Arvinas | 483.87 Mn | -2.17 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 700,000.00 |
| Mar 31, 2024 | 1.20 Mn |
| Mar 31, 2019 | 246,158.00 |
| Dec 31, 2018 | 222,948.00 |
| Sep 30, 2018 | 191,547.00 |
| Mar 31, 2018 | 123,028.00 |
| Dec 31, 2017 | 101,028.00 |
| Sep 30, 2017 | 92,147.00 |
API Access
Arvinas 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=ARVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "ARVN", "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=ARVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();