Agenus (AGEN) Total Non-Current Liabilities (2010 - 2026)
Agenus' Total Non-Current Liabilities came in at $16.08 million for Q2 2026, down 96.9% from $520.78 million a year earlier but up 1.9% from the prior quarter.
Agenus (AGEN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Agenus' Total Non-Current Liabilities was $15.44 million, down 97.1% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -48.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $531.96 million in FY2024 (+16.4%), $456.88 million in FY2023 (+0.7%), $453.76 million in FY2022 (+9.0%) and $416.36 million in FY2021 (+0.1%).
- The five-year range for quarterly Total Non-Current Liabilities is $15.04 million (Q3 2025) to $531.96 million (Q4 2024).
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 42.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2025 (growth of 17.5%), and the weakest in Q4 2025 (a decline of 97.1%).
- Business Quant data shows AGEN's Total Non-Current Liabilities at $15.78 million (Q1 2026), $15.44 million (Q4 2025) and $15.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Agenus | 423.17 Mn | 416.40 Mn | 34.52 Mn | 16.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.08 Mn |
| Mar 31, 2026 | 15.78 Mn |
| Dec 31, 2025 | 15.44 Mn |
| Sep 30, 2025 | 15.04 Mn |
| Jun 30, 2025 | 520.78 Mn |
| Mar 31, 2025 | 521.84 Mn |
| Dec 31, 2024 | 531.96 Mn |
| Sep 30, 2024 | 509.51 Mn |
| Jun 30, 2024 | 511.76 Mn |
| Mar 31, 2024 | 444.15 Mn |
| Dec 31, 2023 | 456.88 Mn |
| Sep 30, 2023 | 442.46 Mn |
| Jun 30, 2023 | 449.28 Mn |
| Mar 31, 2023 | 452.05 Mn |
| Dec 31, 2022 | 453.76 Mn |
| Sep 30, 2022 | 439.39 Mn |
| Jun 30, 2022 | 440.74 Mn |
| Mar 31, 2022 | 412.22 Mn |
| Dec 31, 2021 | 416.36 Mn |
| Sep 30, 2021 | 398.35 Mn |
Agenus 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=AGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();