Agios Pharmaceuticals (AGIO) Total Liabilities (2012 - 2026)
Agios Pharmaceuticals' Total Liabilities was $82.4 million in Q2 2026, down 19.0% from $101.68 million a year earlier but up 8.6% from the prior quarter.
Agios Pharmaceuticals (AGIO) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Agios Pharmaceuticals came in at $104.11 million, down 14.8% from FY2024.
- Total Liabilities has now declined for five consecutive years, with a five-year compound annual growth rate of -25.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $122.24 million in FY2024 (-3.1%), $126.1 million in FY2023 (-8.6%), $137.9 million in FY2022 (-5.4%) and $145.76 million in FY2021 (-67.9%).
- Quarterly Total Liabilities has moved between $75.88 million (Q1 2026) and $165.12 million (Q3 2024) over five years.
- Compared with a year earlier, Total Liabilities has declined for seven straight quarters, with an average decline of 9.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2024 (growth of 37.1%); the worst was Q4 2021 (a decline of 67.9%).
- Per Business Quant data, AGIO's Total Liabilities in the three quarters before Q2 2026 was $75.88 million (Q1 2026), $104.11 million (Q4 2025) and $101.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Agios Pharmaceuticals | 2.22 Bn | -943.26 Mn | 41.75 Mn | 82.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.40 Mn |
| Mar 31, 2026 | 75.88 Mn |
| Dec 31, 2025 | 104.11 Mn |
| Sep 30, 2025 | 101.38 Mn |
| Jun 30, 2025 | 101.68 Mn |
| Mar 31, 2025 | 88.99 Mn |
| Dec 31, 2024 | 122.24 Mn |
| Sep 30, 2024 | 165.12 Mn |
| Jun 30, 2024 | 112.55 Mn |
| Mar 31, 2024 | 105.79 Mn |
| Dec 31, 2023 | 126.10 Mn |
| Sep 30, 2023 | 120.42 Mn |
| Jun 30, 2023 | 120.92 Mn |
| Mar 31, 2023 | 114.77 Mn |
| Dec 31, 2022 | 137.90 Mn |
| Sep 30, 2022 | 130.15 Mn |
| Jun 30, 2022 | 128.40 Mn |
| Mar 31, 2022 | 128.41 Mn |
| Dec 31, 2021 | 145.76 Mn |
| Sep 30, 2021 | 146.74 Mn |
Agios Pharmaceuticals 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=AGIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AGIO", "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=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();