Cytosorbents (CTSO) Return on Assets [ROA] (2009 - 2026)
Cytosorbents (CTSO) posted Return on Assets [ROA] of -36.55% for Q2 2026, down 5.31 percentage points from -31.24% a year earlier and down 0.38 percentage points from the prior quarter.
Cytosorbents (CTSO) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025, Cytosorbents' Return on Assets [ROA] came in at -17.91%, up 23.39 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -4.55 percentage points (FY2020 to FY2025).
- In prior years, Cytosorbents' Return on Assets [ROA] was -41.30% in FY2024 (+9.04 pp), -50.34% in FY2023 (-7.38 pp), -42.96% in FY2022 (-15.59 pp) and -27.37% in FY2021 (-14.01 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Assets [ROA] since Q4 2024.
- On a year-over-year basis, Return on Assets [ROA] increased in six of the last eight quarters, with an average year-over-year change of +9.46 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q1 2025, with a gain of 23.49 percentage points; the weakest was Q3 2022, with a drop of 45.48 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -36.17% (Q1 2026), -30.60% (Q4 2025) and -33.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 6.24% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.32% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 4.67% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 14.78% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 9.46% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | -2.00% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 7.71% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 7.24% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.20% |
| 10 | Cytosorbents | 2.28 Mn | -20.73 Mn | 7.05 Mn | -38.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.84% |
| Mar 31, 2026 | -36.50% |
| Dec 31, 2025 | -34.31% |
| Sep 30, 2025 | -29.78% |
| Jun 30, 2025 | -32.40% |
| Mar 31, 2025 | -33.30% |
| Dec 31, 2024 | -35.71% |
| Sep 30, 2024 | -45.17% |
| Jun 30, 2024 | -50.36% |
| Mar 31, 2024 | -55.94% |
| Dec 31, 2023 | -61.77% |
| Sep 30, 2023 | -53.30% |
| Jun 30, 2023 | -52.15% |
| Mar 31, 2023 | -51.27% |
| Dec 31, 2022 | -49.42% |
| Sep 30, 2022 | -52.62% |
| Jun 30, 2022 | -40.36% |
| Mar 31, 2022 | -31.59% |
| Dec 31, 2021 | -24.16% |
| Sep 30, 2021 | -15.98% |
Cytosorbents Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=CTSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();