Arvinas (ARVN) Research & Development (2017 - 2026)
Arvinas' Research & Development was $46.9 million in Q3 2026, down 27.5% from $64.7 million a year earlier and down 10.8% from the prior quarter.
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Analysis
Arvinas (ARVN) Research & Development (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arvinas' Research & Development was $220.9 million through Sep 30, 2026, down 28.1% year-over-year; for FY2025, it was $285.2 million, down 18.1% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In earlier years, Research & Development was $348.2 million in FY2024 (-8.3%), $379.7 million in FY2023 (+20.5%), $315 million in FY2022 (+74.6%) and $180.4 million in FY2021 (+66.4%).
- The Q3 2026 figure marks the lowest quarterly Research & Development since Q3 2021.
- Compared with a year earlier, Research & Development has declined for six straight quarters, with an average decline of 21.0% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2022 (growth of 90.9%); the worst was Q1 2026 (a decline of 33.6%).
- Per Business Quant data, ARVN's Research & Development in the three quarters before Q3 2026 was $52.6 million (Q2 2026), $60.3 million (Q1 2026) and $61.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Arvinas | 453.26 Mn | -1.97 Bn | 400,000.00 | 46.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.90 Mn |
| Jun 30, 2026 | 52.60 Mn |
| Mar 31, 2026 | 60.30 Mn |
| Dec 31, 2025 | 61.10 Mn |
| Sep 30, 2025 | 64.70 Mn |
| Jun 30, 2025 | 68.60 Mn |
| Mar 31, 2025 | 90.80 Mn |
| Dec 31, 2024 | 83.30 Mn |
| Sep 30, 2024 | 86.90 Mn |
| Jun 30, 2024 | 93.70 Mn |
| Mar 31, 2024 | 84.30 Mn |
| Dec 31, 2023 | 95.20 Mn |
| Sep 30, 2023 | 85.90 Mn |
| Jun 30, 2023 | 103.40 Mn |
| Mar 31, 2023 | 95.30 Mn |
| Dec 31, 2022 | 98.30 Mn |
| Sep 30, 2022 | 77.50 Mn |
| Jun 30, 2022 | 75.30 Mn |
| Mar 31, 2022 | 64.00 Mn |
| Dec 31, 2021 | 61.90 Mn |
API Access
Arvinas Research & Development 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=research-and-development&ticker=ARVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ARVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();