C4 Therapeutics (CCCC) Operating Expenses (2019 - 2026)
C4 Therapeutics' Operating Expenses was $33.06 million in Q2 2026, down 5.4% from $34.96 million a year earlier and down 2.6% from the prior quarter.
C4 Therapeutics (CCCC) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, C4 Therapeutics' Operating Expenses was $146.8 million through Jun 30, 2026, down 7.0% year-over-year; for FY2025, it came in at $151.17 million, down 2.6% from FY2024.
- Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $155.2 million in FY2024 (-2.9%), $159.79 million in FY2023 (-0.5%), $160.63 million in FY2022 (+25.6%) and $127.92 million in FY2021 (+36.6%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q3 2021.
- Compared with a year earlier, Operating Expenses has declined for three straight quarters, with an average decline of 0.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 39.7%); the worst was Q4 2025 (a decline of 20.3%).
- Per Business Quant data, CCCC's Operating Expenses in the three quarters before Q2 2026 was $33.94 million (Q1 2026), $34.16 million (Q4 2025) and $45.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | C4 Therapeutics | 383.47 Mn | -546.29 Mn | - | 33.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.06 Mn |
| Mar 31, 2026 | 33.94 Mn |
| Dec 31, 2025 | 34.16 Mn |
| Sep 30, 2025 | 45.64 Mn |
| Jun 30, 2025 | 34.96 Mn |
| Mar 31, 2025 | 36.40 Mn |
| Dec 31, 2024 | 42.89 Mn |
| Sep 30, 2024 | 43.61 Mn |
| Jun 30, 2024 | 33.45 Mn |
| Mar 31, 2024 | 35.26 Mn |
| Dec 31, 2023 | 40.69 Mn |
| Sep 30, 2023 | 38.88 Mn |
| Jun 30, 2023 | 40.23 Mn |
| Mar 31, 2023 | 39.99 Mn |
| Dec 31, 2022 | 41.15 Mn |
| Sep 30, 2022 | 39.24 Mn |
| Jun 30, 2022 | 41.22 Mn |
| Mar 31, 2022 | 39.02 Mn |
| Dec 31, 2021 | 35.33 Mn |
| Sep 30, 2021 | 32.75 Mn |
C4 Therapeutics Operating Expenses 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=operating-expenses&ticker=CCCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CCCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();