C4 Therapeutics (CCCC) Return on Sales [ROS] (2019 - 2026)
C4 Therapeutics' Return on Sales [ROS] came in at -397.88% for Q2 2026, up 43.11 percentage points from -440.99% a year earlier and up 53.76 percentage points from the prior quarter.
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Analysis
C4 Therapeutics (CCCC) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, C4 Therapeutics reported Return on Sales [ROS] of -318.97%, up 42.06 percentage points year-over-year; for FY2025, it was -320.53%, up 15.61 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -138.43 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -336.15% in FY2024 (+333.69 pp), -669.84% in FY2023 (-253.27 pp), -416.56% in FY2022 (-237.17 pp) and -179.39% in FY2021 (+2.71 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1410.21% (Q2 2023) to -75.98% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +158.95 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2024 (a gain of 1231.62 percentage points), and the weakest in Q4 2022 (a drop of 1265.75 percentage points).
- Business Quant data shows CCCC's Return on Sales [ROS] at -451.64% (Q1 2026), -210.10% (Q4 2025) and -306.43% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | C4 Therapeutics | 393.93 Mn | -549.34 Mn | - | -290.46% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -290.46% |
| Jun 30, 2026 | -397.88% |
| Mar 31, 2026 | -451.64% |
| Dec 31, 2025 | -210.10% |
| Sep 30, 2025 | -306.43% |
| Jun 30, 2025 | -440.99% |
| Mar 31, 2025 | -402.93% |
| Dec 31, 2024 | -728.39% |
| Sep 30, 2024 | -183.86% |
| Jun 30, 2024 | -178.59% |
| Mar 31, 2024 | -1,060.18% |
| Dec 31, 2023 | -1,147.72% |
| Sep 30, 2023 | -251.16% |
| Jun 30, 2023 | -1,410.21% |
| Mar 31, 2023 | -963.77% |
| Dec 31, 2022 | -1,341.73% |
| Sep 30, 2022 | -481.02% |
| Jun 30, 2022 | -197.95% |
| Mar 31, 2022 | -409.84% |
| Dec 31, 2021 | -75.98% |
API Access
C4 Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CCCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CCCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();