Vir Biotechnology (VIR) Return on Sales [ROS] (2018 - 2026)
Vir Biotechnology's Return on Sales [ROS] was 30.75% in Q2 2026, up 9785.03 percentage points from -9754.28% a year earlier and up 456203.16 percentage points from the prior quarter.
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Analysis
Vir Biotechnology (VIR) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vir Biotechnology's Return on Sales [ROS] was -92.38% through Jun 30, 2026, up 3099.29 percentage points year-over-year; for FY2025, it was -699.18%, up 92.10 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -310.30 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -791.27% in FY2024 (+2.77 pp), -794.04% in FY2023 (-845.60 pp), 51.56% in FY2022 (+13.15 pp) and 38.41% in FY2021 (+427.29 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q3 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -64409.96 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2026 (a gain of 9785.03 percentage points); the worst was Q1 2026 (a drop of 451569.94 percentage points).
- Per Business Quant data, VIR's Return on Sales [ROS] in the three quarters before Q2 2026 was -456172.41% (Q1 2026), -74.79% (Q4 2025) and -72267.92% (Q3 2025).
Peer Set
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 | Vir Biotechnology | 1.89 Bn | 1.89 Bn | 238.95 Mn | 30.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.75% |
| Mar 31, 2026 | -456,172.41% |
| Dec 31, 2025 | -74.79% |
| Sep 30, 2025 | -72,267.92% |
| Jun 30, 2025 | -9,754.28% |
| Mar 31, 2025 | -4,602.47% |
| Dec 31, 2024 | -946.74% |
| Sep 30, 2024 | -9,718.66% |
| Jun 30, 2024 | -5,158.70% |
| Mar 31, 2024 | -142.05% |
| Dec 31, 2023 | -828.12% |
| Sep 30, 2023 | -7,075.86% |
| Jun 30, 2023 | -5,667.26% |
| Mar 31, 2023 | -227.73% |
| Dec 31, 2022 | -304.60% |
| Sep 30, 2022 | 52.05% |
| Jun 30, 2022 | -554.34% |
| Mar 31, 2022 | 82.26% |
| Dec 31, 2021 | 70.35% |
| Sep 30, 2021 | -51.52% |
API Access
Vir Biotechnology 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=VIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VIR", "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=VIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();