Arvinas (ARVN) Selling, General & Administrative (2017 - 2026)
Arvinas' Selling, General & Administrative was $24 million in Q2 2026, down 5.1% from $25.3 million a year earlier but up 25.7% from the prior quarter.
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Analysis
Arvinas (ARVN) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arvinas' Selling, General & Administrative was $87.1 million through Jun 30, 2026, down 46.2% year-over-year; for FY2025, it was $95.9 million, down 42.0% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $165.4 million in FY2024 (+64.9%), $100.3 million in FY2023 (+26.0%), $79.6 million in FY2022 (+29.2%) and $61.6 million in FY2021 (+60.8%).
- Quarterly Selling, General & Administrative has moved between $15.1 million (Q4 2022) and $75.8 million (Q3 2024) over five years.
- Compared with a year earlier, Selling, General & Administrative has declined for five straight quarters, with growth averaging 14.2% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2024 (growth of 235.4%); the worst was Q3 2025 (a decline of 72.3%).
- Per Business Quant data, ARVN's Selling, General & Administrative in the three quarters before Q2 2026 was $19.1 million (Q1 2026), $23 million (Q4 2025) and $21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Arvinas | 483.87 Mn | -2.17 Bn | - | 24.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.00 Mn |
| Mar 31, 2026 | 19.10 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 21.00 Mn |
| Jun 30, 2025 | 25.30 Mn |
| Mar 31, 2025 | 26.60 Mn |
| Dec 31, 2024 | 34.10 Mn |
| Sep 30, 2024 | 75.80 Mn |
| Jun 30, 2024 | 31.30 Mn |
| Mar 31, 2024 | 24.30 Mn |
| Dec 31, 2023 | 27.00 Mn |
| Sep 30, 2023 | 22.60 Mn |
| Jun 30, 2023 | 25.70 Mn |
| Mar 31, 2023 | 24.90 Mn |
| Dec 31, 2022 | 15.10 Mn |
| Sep 30, 2022 | 20.00 Mn |
| Jun 30, 2022 | 24.30 Mn |
| Mar 31, 2022 | 20.20 Mn |
| Dec 31, 2021 | 18.80 Mn |
| Sep 30, 2021 | 16.00 Mn |
API Access
Arvinas Selling, General & Administrative 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=selling-general-and-administrative&ticker=ARVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ARVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();