Cytosorbents (CTSO) Return on Sales [ROS] (2011 - 2026)
Cytosorbents (CTSO) reported Return on Sales [ROS] of -27.39% for Q2 2026, up 10.20 percentage points from -37.59% a year earlier and up 6.96 percentage points from the prior quarter.
Cytosorbents (CTSO) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cytosorbents' Return on Sales [ROS] came in at -34.74%, up 8.82 percentage points year-over-year; for FY2025, it was -39.79%, up 6.43 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -14.50 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -46.22% in FY2024 (+56.56 pp), -102.78% in FY2023 (-11.91 pp), -90.87% in FY2022 (-38.18 pp) and -52.69% in FY2021 (-27.40 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q1 2021.
- Year over year, Return on Sales [ROS] gained in seven of the last eight quarters, with an average year-over-year change of +18.09 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2024 (a gain of 71.44 percentage points); the low point was Q4 2021 (a drop of 66.65 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -34.34% (Q1 2026), -47.49% (Q4 2025) and -30.17% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Cytosorbents | 12.73 Mn | -10.29 Mn | 7.05 Mn | -27.39% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.39% |
| Mar 31, 2026 | -34.34% |
| Dec 31, 2025 | -47.49% |
| Sep 30, 2025 | -30.17% |
| Jun 30, 2025 | -37.59% |
| Mar 31, 2025 | -44.55% |
| Dec 31, 2024 | -37.10% |
| Sep 30, 2024 | -56.08% |
| Jun 30, 2024 | -40.38% |
| Mar 31, 2024 | -51.80% |
| Dec 31, 2023 | -108.54% |
| Sep 30, 2023 | -83.42% |
| Jun 30, 2023 | -69.62% |
| Mar 31, 2023 | -83.51% |
| Dec 31, 2022 | -67.69% |
| Sep 30, 2022 | -111.17% |
| Jun 30, 2022 | -98.37% |
| Mar 31, 2022 | -89.64% |
| Dec 31, 2021 | -88.68% |
| Sep 30, 2021 | -55.39% |
Cytosorbents 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=CTSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CTSO", "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=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();