Atea Pharmaceuticals (AVIR) Total Current Liabilities (2019 - 2026)
Atea Pharmaceuticals (AVIR) posted Total Current Liabilities of $28.12 million for Q2 2026, up 39.8% from $20.12 million a year earlier but down 15.7% from the prior quarter.
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Analysis
Atea Pharmaceuticals (AVIR) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Atea Pharmaceuticals' Total Current Liabilities came in at $39.78 million, up 113.9% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -33.9% (FY2020 to FY2025).
- In prior years, Atea Pharmaceuticals' Total Current Liabilities was $18.6 million in FY2024 (-42.5%), $32.38 million in FY2023 (+75.2%), $18.48 million in FY2022 (-67.5%) and $56.88 million in FY2021 (-82.0%).
- Quarterly Total Current Liabilities has run from a low of $12.36 million in Q1 2023 to a high of $262.05 million in Q3 2021 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last three quarters, with growth averaging 13.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2024, with growth of 234.2%; the weakest was Q3 2022, with a decline of 94.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $33.37 million (Q1 2026), $39.78 million (Q4 2025) and $20.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Atea Pharmaceuticals | 417.06 Mn | 417.06 Mn | - | 28.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.12 Mn |
| Mar 31, 2026 | 33.37 Mn |
| Dec 31, 2025 | 39.78 Mn |
| Sep 30, 2025 | 20.18 Mn |
| Jun 30, 2025 | 20.12 Mn |
| Mar 31, 2025 | 21.75 Mn |
| Dec 31, 2024 | 18.60 Mn |
| Sep 30, 2024 | 25.19 Mn |
| Jun 30, 2024 | 26.62 Mn |
| Mar 31, 2024 | 41.31 Mn |
| Dec 31, 2023 | 32.38 Mn |
| Sep 30, 2023 | 18.89 Mn |
| Jun 30, 2023 | 16.16 Mn |
| Mar 31, 2023 | 12.36 Mn |
| Dec 31, 2022 | 18.48 Mn |
| Sep 30, 2022 | 15.63 Mn |
| Jun 30, 2022 | 25.11 Mn |
| Mar 31, 2022 | 28.61 Mn |
| Dec 31, 2021 | 56.88 Mn |
| Sep 30, 2021 | 262.05 Mn |
API Access
Atea Pharmaceuticals Total Current 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-current-liabilities&ticker=AVIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "AVIR", "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-current-liabilities&ticker=AVIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();