Curis (CRIS) Total Liabilities (2010 - 2026)
Curis (CRIS) recorded Total Liabilities of $14.28 million in Q2 2026, down 67.0% from $43.22 million a year earlier and down 15.9% from the prior quarter.
Curis (CRIS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Curis reported Total Liabilities of $14.5 million, down 69.3% from FY2024.
- Annual Total Liabilities has declined for five straight years, with a five-year compound annual growth rate of -27.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $47.26 million in FY2024 (-18.0%), $57.61 million in FY2023 (-7.5%), $62.3 million in FY2022 (-13.0%) and $71.59 million in FY2021 (-2.8%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q3 2012.
- On a year-over-year basis, Total Liabilities has declined for 21 consecutive quarters, with an average decline of 34.7% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Liabilities ran from 2.8% in Q2 2022 to 69.3% in Q4 2025.
- Per Business Quant, the preceding three quarters came in at $16.98 million (Q1 2026), $14.5 million (Q4 2025) and $42.33 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 | Curis | 857,566.23 | -33.33 Mn | - | 14.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.28 Mn |
| Mar 31, 2026 | 16.98 Mn |
| Dec 31, 2025 | 14.50 Mn |
| Sep 30, 2025 | 42.33 Mn |
| Jun 30, 2025 | 43.22 Mn |
| Mar 31, 2025 | 45.93 Mn |
| Dec 31, 2024 | 47.26 Mn |
| Sep 30, 2024 | 51.21 Mn |
| Jun 30, 2024 | 51.11 Mn |
| Mar 31, 2024 | 52.56 Mn |
| Dec 31, 2023 | 57.61 Mn |
| Sep 30, 2023 | 60.38 Mn |
| Jun 30, 2023 | 58.08 Mn |
| Mar 31, 2023 | 57.95 Mn |
| Dec 31, 2022 | 62.30 Mn |
| Sep 30, 2022 | 67.11 Mn |
| Jun 30, 2022 | 66.79 Mn |
| Mar 31, 2022 | 64.77 Mn |
| Dec 31, 2021 | 71.59 Mn |
| Sep 30, 2021 | 69.18 Mn |
Curis 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=CRIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CRIS", "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=CRIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();