C4 Therapeutics (CCCC) Total Liabilities (2019 - 2026)
C4 Therapeutics (CCCC) posted Total Liabilities of $112.14 million for Q2 2026, down 8.4% from $122.46 million a year earlier but up 18.5% from the prior quarter.
C4 Therapeutics (CCCC) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, C4 Therapeutics' Total Liabilities came in at $102.49 million, down 23.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- In prior years, C4 Therapeutics' Total Liabilities was $133.62 million in FY2024 (+2.5%), $130.34 million in FY2023 (-8.0%), $141.61 million in FY2022 (+20.9%) and $117.16 million in FY2021 (-1.8%).
- Quarterly Total Liabilities has run from a low of $94.61 million in Q1 2026 to a high of $150.96 million in Q1 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last six quarters, with an average decline of 9.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 36.9%; the weakest was Q3 2021, with a decline of 71.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $94.61 million (Q1 2026), $102.49 million (Q4 2025) and $111.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | C4 Therapeutics | 393.93 Mn | -549.34 Mn | - | 103.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 103.63 Mn |
| Jun 30, 2026 | 112.14 Mn |
| Mar 31, 2026 | 94.61 Mn |
| Dec 31, 2025 | 102.49 Mn |
| Sep 30, 2025 | 111.08 Mn |
| Jun 30, 2025 | 122.46 Mn |
| Mar 31, 2025 | 124.38 Mn |
| Dec 31, 2024 | 133.62 Mn |
| Sep 30, 2024 | 133.40 Mn |
| Jun 30, 2024 | 134.04 Mn |
| Mar 31, 2024 | 140.09 Mn |
| Dec 31, 2023 | 130.34 Mn |
| Sep 30, 2023 | 116.99 Mn |
| Jun 30, 2023 | 141.30 Mn |
| Mar 31, 2023 | 133.57 Mn |
| Dec 31, 2022 | 141.61 Mn |
| Sep 30, 2022 | 143.26 Mn |
| Jun 30, 2022 | 147.88 Mn |
| Mar 31, 2022 | 150.96 Mn |
| Dec 31, 2021 | 117.16 Mn |
C4 Therapeutics 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=CCCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CCCC", "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=CCCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();