Arvinas (ARVN) Operating Expenses (2017 - 2026)
Arvinas (ARVN) recorded Operating Expenses of $85.6 million in Q2 2026, down 8.8% from $93.9 million a year earlier but up 7.8% from the prior quarter.
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Analysis
Arvinas (ARVN) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Arvinas' Operating Expenses came in at $334.8 million as of Jun 30, 2026, down 31.9% year-over-year; for FY2025, it came in at $381.1 million, down 25.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $513.6 million in FY2024 (+7.0%), $480 million in FY2023 (+21.6%), $394.6 million in FY2022 (+63.1%) and $242 million in FY2021 (+65.0%).
- Quarterly Operating Expenses has ranged from $56.6 million in Q3 2021 to $162.7 million in Q3 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for five consecutive quarters, with an average decline of 11.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 78.4% in Q1 2022, against a decline of 47.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $79.4 million (Q1 2026), $84.1 million (Q4 2025) and $85.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Arvinas | 490.21 Mn | -2.17 Bn | - | 85.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 56.60 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();