C4 Therapeutics (CCCC) Total Current Liabilities (2019 - 2026)
C4 Therapeutics' Total Current Liabilities came in at $48.25 million for Q2 2026, up 8.5% from $44.46 million a year earlier and up 77.1% from the prior quarter.
C4 Therapeutics (CCCC) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, C4 Therapeutics' Total Current Liabilities was $33.03 million, down 26.9% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $45.18 million in FY2024 (+5.6%), $42.77 million in FY2023 (-4.0%), $44.55 million in FY2022 (-13.1%) and $51.25 million in FY2021 (+16.9%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q2 2024.
- Year-over-year, Total Current Liabilities increased in three of the last eight quarters, with an average decline of 8.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2024 (growth of 43.0%), and the weakest in Q1 2026 (a decline of 33.2%).
- Business Quant data shows CCCC's Total Current Liabilities at $27.25 million (Q1 2026), $33.03 million (Q4 2025) and $35.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | C4 Therapeutics | 393.93 Mn | -549.34 Mn | - | 41.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.46 Mn |
| Jun 30, 2026 | 48.25 Mn |
| Mar 31, 2026 | 27.25 Mn |
| Dec 31, 2025 | 33.03 Mn |
| Sep 30, 2025 | 35.95 Mn |
| Jun 30, 2025 | 44.46 Mn |
| Mar 31, 2025 | 40.82 Mn |
| Dec 31, 2024 | 45.18 Mn |
| Sep 30, 2024 | 43.29 Mn |
| Jun 30, 2024 | 54.20 Mn |
| Mar 31, 2024 | 55.02 Mn |
| Dec 31, 2023 | 42.77 Mn |
| Sep 30, 2023 | 30.27 Mn |
| Jun 30, 2023 | 48.24 Mn |
| Mar 31, 2023 | 39.38 Mn |
| Dec 31, 2022 | 44.55 Mn |
| Sep 30, 2022 | 45.27 Mn |
| Jun 30, 2022 | 46.15 Mn |
| Mar 31, 2022 | 46.99 Mn |
| Dec 31, 2021 | 51.25 Mn |
C4 Therapeutics Total 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-current-liabilities&ticker=CCCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=CCCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();