Atea Pharmaceuticals (AVIR) Total Non-Current Liabilities (2019 - 2025)
Atea Pharmaceuticals (AVIR) reported Total Non-Current Liabilities of $39.78 million for Q4 2025, up 104.6% from $19.45 million a year earlier and up 95.1% from the prior quarter.
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Analysis
Atea Pharmaceuticals (AVIR) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
Dating back to Q4 2019, Atea Pharmaceuticals' Total Non-Current Liabilities record includes 22 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -33.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $19.45 million in FY2024 (-42.8%), $34.02 million in FY2023 (+62.9%), $20.88 million in FY2022 (-63.3%) and $56.88 million in FY2021 (-82.0%).
- The Q4 2025 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2024.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 29.8%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 193.3%); the low point was Q2 2022 (a decline of 89.8%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $20.39 million (Q3 2025), $20.54 million (Q2 2025) and $22.38 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Atea Pharmaceuticals | 415.46 Mn | 415.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 39.78 Mn |
| Sep 30, 2025 | 20.39 Mn |
| Jun 30, 2025 | 20.54 Mn |
| Mar 31, 2025 | 22.38 Mn |
| Dec 31, 2024 | 19.45 Mn |
| Sep 30, 2024 | 26.24 Mn |
| Jun 30, 2024 | 27.86 Mn |
| Mar 31, 2024 | 42.76 Mn |
| Dec 31, 2023 | 34.02 Mn |
| Sep 30, 2023 | 20.73 Mn |
| Jun 30, 2023 | 18.19 Mn |
| Mar 31, 2023 | 14.58 Mn |
| Dec 31, 2022 | 20.88 Mn |
| Sep 30, 2022 | 18.22 Mn |
| Jun 30, 2022 | 27.87 Mn |
| Mar 31, 2022 | 31.37 Mn |
| Dec 31, 2021 | 56.88 Mn |
| Jun 30, 2021 | 273.65 Mn |
| Mar 31, 2021 | 254.28 Mn |
| Dec 31, 2020 | 315.80 Mn |
API Access
Atea Pharmaceuticals Total Non-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-non-current-liabilities&ticker=AVIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=AVIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();