Arvinas (ARVN) Return on Sales [ROS] (2017 - 2026)
Arvinas (ARVN) reported Return on Sales [ROS] of 65.72% for Q2 2026, up 384.92 percentage points from -319.20% a year earlier and up 474.69 percentage points from the prior quarter.
Arvinas (ARVN) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Arvinas' Return on Sales [ROS] came in at -5.72%, up 26.10 percentage points year-over-year; for FY2025, it was -45.13%, up 49.86 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +421.28 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -94.99% in FY2024 (+416.48 pp), -511.46% in FY2023 (-311.16 pp), -200.30% in FY2022 (+151.19 pp) and -351.49% in FY2021 (+114.92 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q1 2017.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -14.42 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2022 (a gain of 748.96 percentage points); the low point was Q4 2025 (a drop of 686.95 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -408.97% (Q1 2026), -785.26% (Q4 2025) and -104.53% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Arvinas | 483.87 Mn | -2.17 Bn | - | 65.72% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.72% |
| Mar 31, 2026 | -408.97% |
| Dec 31, 2025 | -785.26% |
| Sep 30, 2025 | -104.53% |
| Jun 30, 2025 | -319.20% |
| Mar 31, 2025 | 37.82% |
| Dec 31, 2024 | -98.31% |
| Sep 30, 2024 | -58.89% |
| Jun 30, 2024 | -63.40% |
| Mar 31, 2024 | -329.25% |
| Dec 31, 2023 | -511.46% |
| Sep 30, 2023 | -213.58% |
| Jun 30, 2023 | -136.88% |
| Mar 31, 2023 | -269.85% |
| Dec 31, 2022 | -200.00% |
| Sep 30, 2022 | -193.67% |
| Jun 30, 2022 | -194.67% |
| Mar 31, 2022 | -217.74% |
| Dec 31, 2021 | -143.07% |
| Sep 30, 2021 | -508.60% |
Arvinas Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ARVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ARVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();