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 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | C4 Therapeutics | 383.47 Mn | -546.29 Mn | - | 48.25 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 48.69 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();