Vir Biotechnology (VIR) Total Liabilities (2018 - 2026)
Vir Biotechnology (VIR) reported Total Liabilities of $232.31 million for Q2 2026, down 5.2% from $245.06 million a year earlier but up 9.2% from the prior quarter.
Vir Biotechnology (VIR) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Vir Biotechnology posted Total Liabilities of $237.55 million, down 4.4% from FY2024.
- Total Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $248.43 million in FY2024 (-24.4%), $328.82 million in FY2023 (-54.6%), $724.13 million in FY2022 (+38.6%) and $522.42 million in FY2021 (+158.7%).
- Five-year quarterly Total Liabilities spans a low of $212.82 million in Q1 2026 and a high of $886.12 million in Q1 2022.
- Year over year, Total Liabilities has now declined in each of the last four quarters, with an average decline of 10.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 158.7%); the low point was Q1 2024 (a decline of 64.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $212.82 million (Q1 2026), $237.55 million (Q4 2025) and $223.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Vir Biotechnology | 1.78 Bn | 1.78 Bn | 238.95 Mn | 232.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 232.31 Mn |
| Mar 31, 2026 | 212.82 Mn |
| Dec 31, 2025 | 237.55 Mn |
| Sep 30, 2025 | 223.36 Mn |
| Jun 30, 2025 | 245.06 Mn |
| Mar 31, 2025 | 263.91 Mn |
| Dec 31, 2024 | 248.43 Mn |
| Sep 30, 2024 | 257.63 Mn |
| Jun 30, 2024 | 235.89 Mn |
| Mar 31, 2024 | 246.61 Mn |
| Dec 31, 2023 | 328.82 Mn |
| Sep 30, 2023 | 369.81 Mn |
| Jun 30, 2023 | 433.67 Mn |
| Mar 31, 2023 | 695.14 Mn |
| Dec 31, 2022 | 724.13 Mn |
| Sep 30, 2022 | 546.12 Mn |
| Jun 30, 2022 | 666.98 Mn |
| Mar 31, 2022 | 886.12 Mn |
| Dec 31, 2021 | 522.42 Mn |
| Sep 30, 2021 | 333.94 Mn |
Vir Biotechnology Total Liabilities 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=total-liabilities&ticker=VIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();