Vir Biotechnology (VIR) Return on Sales [ROS] (2018 - 2026)
Vir Biotechnology's Return on Sales [ROS] was -55669.15% in Q3 2026, up 16598.77 percentage points from -72267.92% a year earlier but down 55699.90 percentage points from the prior quarter.
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 -69.72% through Sep 30, 2026, up 3183.88 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).
- Quarterly Return on Sales [ROS] has moved between -456172.41% (Q1 2026) and 82.26% (Q1 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -62004.76 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2026 (a gain of 16598.77 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 Q3 2026 was 30.75% (Q2 2026), -456172.41% (Q1 2026) and -74.79% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Vir Biotechnology | 2.23 Bn | 313.19 Mn | 188,000.00 | -55,669.15% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -55,669.15% |
| 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% |
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_KEY
import 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();