Crescent Biopharma (CBIO) Return on Sales [ROS] (2013 - 2026)
Crescent Biopharma (CBIO) reported Return on Sales [ROS] of -16214.63% for Q2 2026, up 18295.88 percentage points from -34510.51% a year earlier but down 13834.55 percentage points from the prior quarter.
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Analysis
Crescent Biopharma (CBIO) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For FY2025, Crescent Biopharma posted Return on Sales [ROS] of -1407.52%, up 2873.50 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -900.69 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -4281.03% in FY2024 (+388471.90 pp), -392752.93% in FY2023 (-329548.50 pp), -63204.43% in FY2022 (-57733.74 pp) and -5470.69% in FY2021 (-4963.85 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -207385.91% in Q1 2022 and a high of -1330.78% in Q2 2023.
- Year over year, Return on Sales [ROS] gained in two of the last six quarters, with an average year-over-year change of -3394.07 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2022 (a gain of 10126197.20 percentage points); the low point was Q1 2022 (a drop of 206032.93 percentage points).
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 | Crescent Biopharma | 386.36 Mn | -320.93 Mn | - | -4,937.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4,937.57% |
| Mar 31, 2026 | -2,380.08% |
| Dec 31, 2025 | -8,355.43% |
| Sep 30, 2025 | -2,025.43% |
| Jun 30, 2025 | -34,510.51% |
| Mar 31, 2025 | -11,863.37% |
| Dec 31, 2024 | -6,046.95% |
| Sep 30, 2024 | -6,088.12% |
| Jun 30, 2024 | -3,948.98% |
| Mar 31, 2024 | -2,937.69% |
| Dec 31, 2023 | -1,872.50% |
| Sep 30, 2023 | -1,606.19% |
| Jun 30, 2023 | -1,330.78% |
| Mar 31, 2023 | -1,880.97% |
| Dec 31, 2022 | -57,760.32% |
| Sep 30, 2022 | -54,372.95% |
| Jun 30, 2022 | -17,804.21% |
| Mar 31, 2022 | -207,385.91% |
| Dec 31, 2021 | -98,870.20% |
| Sep 30, 2021 | -20,028.82% |
API Access
Crescent Biopharma 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=CBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CBIO", "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=CBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();