Agenus (AGEN) Total Liabilities (2010 - 2026)
Agenus' Total Liabilities came in at $378.54 million for Q2 2026, down 27.4% from $521.53 million a year earlier and down 8.7% from the prior quarter.
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Analysis
Agenus (AGEN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Agenus' Total Liabilities was $504.66 million, down 5.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $532.7 million in FY2024 (+15.2%), $462.3 million in FY2023 (-1.3%), $468.46 million in FY2022 (+12.1%) and $418.05 million in FY2021 (-1.9%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2019.
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with an average decline of 0.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2025 (growth of 16.9%), and the weakest in Q2 2026 (a decline of 27.4%).
- Business Quant data shows AGEN's Total Liabilities at $414.44 million (Q1 2026), $504.66 million (Q4 2025) and $514.76 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Agenus | 401.87 Mn | 395.09 Mn | 34.52 Mn | 378.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 378.54 Mn |
| Mar 31, 2026 | 414.44 Mn |
| Dec 31, 2025 | 504.66 Mn |
| Sep 30, 2025 | 514.76 Mn |
| Jun 30, 2025 | 521.53 Mn |
| Mar 31, 2025 | 522.60 Mn |
| Dec 31, 2024 | 532.70 Mn |
| Sep 30, 2024 | 510.29 Mn |
| Jun 30, 2024 | 513.25 Mn |
| Mar 31, 2024 | 446.88 Mn |
| Dec 31, 2023 | 462.30 Mn |
| Sep 30, 2023 | 450.76 Mn |
| Jun 30, 2023 | 460.35 Mn |
| Mar 31, 2023 | 465.96 Mn |
| Dec 31, 2022 | 468.46 Mn |
| Sep 30, 2022 | 440.86 Mn |
| Jun 30, 2022 | 442.54 Mn |
| Mar 31, 2022 | 413.66 Mn |
| Dec 31, 2021 | 418.05 Mn |
| Sep 30, 2021 | 402.09 Mn |
API Access
Agenus 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=AGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AGEN", "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=AGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();