C4 Therapeutics (CCCC) Cash & Equivalents (2019 - 2026)
C4 Therapeutics' Cash & Equivalents came in at $78.61 million for Q2 2026, up 0.6% from $78.16 million a year earlier and up 28.3% from the prior quarter.
C4 Therapeutics (CCCC) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, C4 Therapeutics' Cash & Equivalents was $74.6 million, up 34.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -16.3% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $55.5 million in FY2024 (-56.2%), $126.59 million in FY2023 (+325.5%), $29.75 million in FY2022 (-60.9%) and $76.12 million in FY2021 (-58.1%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q1 2024.
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2023 (growth of 325.5%), and the weakest in Q2 2022 (a decline of 79.6%).
- Business Quant data shows CCCC's Cash & Equivalents at $61.27 million (Q1 2026), $74.6 million (Q4 2025) and $58.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | C4 Therapeutics | 409.28 Mn | -520.48 Mn | - | 78.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.61 Mn |
| Mar 31, 2026 | 61.27 Mn |
| Dec 31, 2025 | 74.60 Mn |
| Sep 30, 2025 | 58.81 Mn |
| Jun 30, 2025 | 78.16 Mn |
| Mar 31, 2025 | 51.29 Mn |
| Dec 31, 2024 | 55.50 Mn |
| Sep 30, 2024 | 59.65 Mn |
| Jun 30, 2024 | 73.11 Mn |
| Mar 31, 2024 | 89.66 Mn |
| Dec 31, 2023 | 126.59 Mn |
| Sep 30, 2023 | 60.97 Mn |
| Jun 30, 2023 | 44.88 Mn |
| Mar 31, 2023 | 49.48 Mn |
| Dec 31, 2022 | 29.75 Mn |
| Sep 30, 2022 | 49.55 Mn |
| Jun 30, 2022 | 57.30 Mn |
| Mar 31, 2022 | 46.00 Mn |
| Dec 31, 2021 | 76.12 Mn |
| Sep 30, 2021 | 162.75 Mn |
C4 Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=CCCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CCCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();