Curis (CRIS) Return on Sales [ROS] (2010 - 2026)
Curis' Return on Sales [ROS] came in at -203.15% for Q2 2026, up 96.99 percentage points from -300.15% a year earlier but down 102.98 percentage points from the prior quarter.
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Analysis
Curis (CRIS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2025, Curis' Return on Sales [ROS] was -60.50%, up 347.84 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +169.29 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -408.34% in FY2024 (+73.87 pp), -482.21% in FY2023 (+39.54 pp), -521.75% in FY2022 (-126.73 pp) and -395.01% in FY2021 (-165.22 pp).
- The five-year range for quarterly Return on Sales [ROS] is -735.68% (Q1 2022) to 1723.99% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for nine consecutive quarters, with an average year-over-year change of +397.61 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2025 (a gain of 1992.87 percentage points), and the weakest in Q1 2022 (a drop of 333.67 percentage points).
- Business Quant data shows CRIS's Return on Sales [ROS] at -100.17% (Q1 2026), 1723.99% (Q4 2025) and -218.01% (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 | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Curis | 760,125.96 | -33.43 Mn | - | -203.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -203.15% |
| Mar 31, 2026 | -100.17% |
| Dec 31, 2025 | 1,723.99% |
| Sep 30, 2025 | -218.01% |
| Jun 30, 2025 | -300.15% |
| Mar 31, 2025 | -426.76% |
| Dec 31, 2024 | -268.88% |
| Sep 30, 2024 | -360.53% |
| Jun 30, 2024 | -491.44% |
| Mar 31, 2024 | -597.75% |
| Dec 31, 2023 | -452.49% |
| Sep 30, 2023 | -436.57% |
| Jun 30, 2023 | -552.48% |
| Mar 31, 2023 | -506.18% |
| Dec 31, 2022 | -354.00% |
| Sep 30, 2022 | -446.23% |
| Jun 30, 2022 | -629.38% |
| Mar 31, 2022 | -735.68% |
| Dec 31, 2021 | -400.86% |
| Sep 30, 2021 | -330.64% |
API Access
Curis 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=CRIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CRIS", "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=CRIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();