Arvinas (ARVN) Operating Expenses (2017 - 2026)
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Analysis
Arvinas (ARVN) Operating Expenses (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Arvinas | 453.26 Mn | -1.97 Bn | 400,000.00 | 59.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.60 Mn |
| Jun 30, 2026 | 85.60 Mn |
| Mar 31, 2026 | 79.40 Mn |
| Dec 31, 2025 | 84.10 Mn |
| Sep 30, 2025 | 85.70 Mn |
| Jun 30, 2025 | 93.90 Mn |
| Mar 31, 2025 | 117.40 Mn |
| Dec 31, 2024 | 117.40 Mn |
| Sep 30, 2024 | 162.70 Mn |
| Jun 30, 2024 | 125.00 Mn |
| Mar 31, 2024 | 108.60 Mn |
| Dec 31, 2023 | 122.20 Mn |
| Sep 30, 2023 | 108.50 Mn |
| Jun 30, 2023 | 129.10 Mn |
| Mar 31, 2023 | 120.20 Mn |
| Dec 31, 2022 | 113.40 Mn |
| Sep 30, 2022 | 97.50 Mn |
| Jun 30, 2022 | 99.60 Mn |
| Mar 31, 2022 | 84.20 Mn |
| Dec 31, 2021 | 80.70 Mn |
API Access
Arvinas Operating Expenses 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=operating-expenses&ticker=ARVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ARVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();