C4 Therapeutics (CCCC) Non-Current Assets (2019 - 2026)
C4 Therapeutics (CCCC) posted Non-Current Assets of $96.5 million for Q2 2026, up 34.4% from $71.8 million a year earlier and up 15.6% from the prior quarter.
C4 Therapeutics (CCCC) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, C4 Therapeutics' Non-Current Assets came in at $100.97 million, up 9.9% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- In prior years, C4 Therapeutics' Non-Current Assets was $91.84 million in FY2024 (-12.8%), $105.26 million in FY2023 (-26.5%), $143.28 million in FY2022 (-20.9%) and $181.08 million in FY2021 (+846.6%).
- Quarterly Non-Current Assets has run from a low of $58.62 million in Q3 2025 to a high of $212.54 million in Q1 2022 over five years.
- On a year-over-year basis, Non-Current Assets increased in two of the last eight quarters, with an average decline of 10.0%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2021, with growth of 846.6%; the weakest was Q1 2023, with a decline of 44.7%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $83.49 million (Q1 2026), $100.97 million (Q4 2025) and $58.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 88.47 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 159.99 Bn |
| 10 | C4 Therapeutics | 393.93 Mn | -549.34 Mn | - | 117.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 117.30 Mn |
| Jun 30, 2026 | 96.50 Mn |
| Mar 31, 2026 | 83.49 Mn |
| Dec 31, 2025 | 100.97 Mn |
| Sep 30, 2025 | 58.62 Mn |
| Jun 30, 2025 | 71.80 Mn |
| Mar 31, 2025 | 86.99 Mn |
| Dec 31, 2024 | 91.84 Mn |
| Sep 30, 2024 | 102.83 Mn |
| Jun 30, 2024 | 105.05 Mn |
| Mar 31, 2024 | 118.78 Mn |
| Dec 31, 2023 | 105.26 Mn |
| Sep 30, 2023 | 109.33 Mn |
| Jun 30, 2023 | 100.62 Mn |
| Mar 31, 2023 | 117.58 Mn |
| Dec 31, 2022 | 143.28 Mn |
| Sep 30, 2022 | 135.98 Mn |
| Jun 30, 2022 | 174.11 Mn |
| Mar 31, 2022 | 212.54 Mn |
| Dec 31, 2021 | 181.08 Mn |
C4 Therapeutics Non-Current Assets 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=non-current-assets&ticker=CCCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CCCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();