Cytosorbents (CTSO) Operating Expenses (2010 - 2026)
Cytosorbents (CTSO) posted Operating Expenses of $9.69 million for Q2 2026, down 7.1% from $10.43 million a year earlier but up 5.6% from the prior quarter.
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Analysis
Cytosorbents (CTSO) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cytosorbents was $39.58 million, down 1.7% year-over-year; for FY2025, it was $41.24 million, down 0.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior years, Cytosorbents' Operating Expenses was $41.34 million in FY2024 (-23.3%), $53.9 million in FY2023 (+3.2%), $52.25 million in FY2022 (-4.8%) and $54.86 million in FY2021 (+36.1%).
- Quarterly Operating Expenses has run from a low of $9.17 million in Q1 2026 to a high of $17.22 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 8.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 42.8%; the weakest was Q4 2024, with a decline of 34.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $9.17 million (Q1 2026), $11.19 million (Q4 2025) and $9.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Cytosorbents | 12.57 Mn | -10.44 Mn | 7.05 Mn | 9.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.69 Mn |
| Mar 31, 2026 | 9.17 Mn |
| Dec 31, 2025 | 11.19 Mn |
| Sep 30, 2025 | 9.53 Mn |
| Jun 30, 2025 | 10.43 Mn |
| Mar 31, 2025 | 10.10 Mn |
| Dec 31, 2024 | 9.65 Mn |
| Sep 30, 2024 | 10.09 Mn |
| Jun 30, 2024 | 10.07 Mn |
| Mar 31, 2024 | 11.53 Mn |
| Dec 31, 2023 | 14.64 Mn |
| Sep 30, 2023 | 12.94 Mn |
| Jun 30, 2023 | 12.99 Mn |
| Mar 31, 2023 | 13.27 Mn |
| Dec 31, 2022 | 12.11 Mn |
| Sep 30, 2022 | 12.63 Mn |
| Jun 30, 2022 | 13.30 Mn |
| Mar 31, 2022 | 14.20 Mn |
| Dec 31, 2021 | 17.22 Mn |
| Sep 30, 2021 | 12.70 Mn |
API Access
Cytosorbents Operating Expenses 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=operating-expenses&ticker=CTSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();