Cytosorbents (CTSO) Cost of Revenue (2011 - 2026)
Cytosorbents' Cost of Revenue came in at $2.58 million for Q2 2026, down 7.8% from $2.8 million a year earlier and down 5.5% from the prior quarter.
Cytosorbents (CTSO) Cost of Revenue (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cytosorbents reported Cost of Revenue of $10.57 million, down 8.7% year-over-year; for FY2025, it came in at $10.57 million, down 1.3% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $10.71 million in FY2024 (+17.3%), $9.13 million in FY2023 (-34.6%), $13.96 million in FY2022 (+26.3%) and $11.05 million in FY2021 (unchanged).
- The five-year range for quarterly Cost of Revenue is $2.09 million (Q2 2023) to $4.49 million (Q3 2022).
- Year-over-year, Cost of Revenue increased in five of the last eight quarters, with growth averaging 10.8%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2022 (growth of 82.5%), and the weakest in Q3 2023 (a decline of 51.9%).
- Business Quant data shows CTSO's Cost of Revenue at $2.73 million (Q1 2026), $2.43 million (Q4 2025) and $2.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Cytosorbents | 12.73 Mn | -10.29 Mn | 7.05 Mn | 2.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.58 Mn |
| Mar 31, 2026 | 2.73 Mn |
| Dec 31, 2025 | 2.43 Mn |
| Sep 30, 2025 | 2.82 Mn |
| Jun 30, 2025 | 2.80 Mn |
| Mar 31, 2025 | 2.52 Mn |
| Dec 31, 2024 | 2.90 Mn |
| Sep 30, 2024 | 3.36 Mn |
| Jun 30, 2024 | 2.34 Mn |
| Mar 31, 2024 | 2.12 Mn |
| Dec 31, 2023 | 2.35 Mn |
| Sep 30, 2023 | 2.16 Mn |
| Jun 30, 2023 | 2.09 Mn |
| Mar 31, 2023 | 2.53 Mn |
| Dec 31, 2022 | 3.63 Mn |
| Sep 30, 2022 | 4.49 Mn |
| Jun 30, 2022 | 3.55 Mn |
| Mar 31, 2022 | 2.28 Mn |
| Dec 31, 2021 | 3.12 Mn |
| Sep 30, 2021 | 2.46 Mn |
Cytosorbents Cost of Revenue 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=cost-of-revenue&ticker=CTSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();