Cytosorbents (CTSO) Selling, General & Administrative (2010 - 2026)
Cytosorbents' Selling, General & Administrative was $7.96 million in Q2 2026, down 13.1% from $9.17 million a year earlier and down 2.3% from the prior quarter.
Cytosorbents (CTSO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cytosorbents' Selling, General & Administrative was $34.16 million through Jun 30, 2026, up 2.0% year-over-year; for FY2025, it came in at $35.65 million, up 5.7% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $33.73 million in FY2024 (-11.9%), $38.31 million in FY2023 (+11.7%), $34.29 million in FY2022 (-4.1%) and $35.75 million in FY2021 (+25.6%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q4 2024.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with an average decline of 4.2%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2023 (growth of 75.4%); the worst was Q4 2024 (a decline of 45.3%).
- Per Business Quant data, CTSO's Selling, General & Administrative in the three quarters before Q2 2026 was $8.15 million (Q1 2026), $9.44 million (Q4 2025) and $8.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Cytosorbents | 12.73 Mn | -10.29 Mn | 7.05 Mn | 7.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.96 Mn |
| Mar 31, 2026 | 8.15 Mn |
| Dec 31, 2025 | 9.44 Mn |
| Sep 30, 2025 | 8.61 Mn |
| Jun 30, 2025 | 9.17 Mn |
| Mar 31, 2025 | 8.43 Mn |
| Dec 31, 2024 | 7.64 Mn |
| Sep 30, 2024 | 8.26 Mn |
| Jun 30, 2024 | 8.55 Mn |
| Mar 31, 2024 | 9.28 Mn |
| Dec 31, 2023 | 13.95 Mn |
| Sep 30, 2023 | 8.10 Mn |
| Jun 30, 2023 | 7.72 Mn |
| Mar 31, 2023 | 8.46 Mn |
| Dec 31, 2022 | 7.95 Mn |
| Sep 30, 2022 | 8.74 Mn |
| Jun 30, 2022 | 8.44 Mn |
| Mar 31, 2022 | 9.16 Mn |
| Dec 31, 2021 | 10.44 Mn |
| Sep 30, 2021 | 7.78 Mn |
Cytosorbents Selling, General & Administrative 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=selling-general-and-administrative&ticker=CTSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();