Cytosorbents (CTSO) Cash & Equivalents (2010 - 2026)
Cytosorbents' Cash & Equivalents came in at $4.41 million for Q2 2026, down 56.8% from $10.2 million a year earlier and down 8.3% from the prior quarter.
Cytosorbents (CTSO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytosorbents' Cash & Equivalents was $6.25 million, down 36.0% from FY2024.
- Cash & Equivalents has declined in each of the last five years, with a five-year compound annual growth rate of -38.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $9.76 million in FY2024 (-30.9%), $14.13 million in FY2023 (-36.2%), $22.14 million in FY2022 (-57.5%) and $52.14 million in FY2021 (-27.0%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q1 2017.
- Year-over-year, Cash & Equivalents has declined for three consecutive quarters, with an average decline of 14.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2025 (growth of 52.3%), and the weakest in Q1 2026 (a decline of 63.3%).
- Business Quant data shows CTSO's Cash & Equivalents at $4.81 million (Q1 2026), $6.25 million (Q4 2025) and $7.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Cytosorbents | 12.25 Mn | -10.76 Mn | 7.05 Mn | 4.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.41 Mn |
| Mar 31, 2026 | 4.81 Mn |
| Dec 31, 2025 | 6.25 Mn |
| Sep 30, 2025 | 7.54 Mn |
| Jun 30, 2025 | 10.20 Mn |
| Mar 31, 2025 | 13.11 Mn |
| Dec 31, 2024 | 9.76 Mn |
| Sep 30, 2024 | 5.70 Mn |
| Jun 30, 2024 | 8.46 Mn |
| Mar 31, 2024 | 8.61 Mn |
| Dec 31, 2023 | 14.13 Mn |
| Sep 30, 2023 | 8.40 Mn |
| Jun 30, 2023 | 13.20 Mn |
| Mar 31, 2023 | 19.05 Mn |
| Dec 31, 2022 | 22.14 Mn |
| Sep 30, 2022 | 22.55 Mn |
| Jun 30, 2022 | 30.16 Mn |
| Mar 31, 2022 | 43.02 Mn |
| Dec 31, 2021 | 52.14 Mn |
| Sep 30, 2021 | 61.04 Mn |
Cytosorbents Cash & Equivalents 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=cash-and-equivalents&ticker=CTSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();