Cytosorbents (CTSO) Non-Current Assets (2010 - 2026)
Cytosorbents (CTSO) reported Non-Current Assets of $22.22 million for Q2 2026, down 11.1% from $25 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Cytosorbents (CTSO) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytosorbents posted Non-Current Assets of $23.55 million, down 8.6% from FY2024.
- Non-Current Assets has declined for three consecutive years, though with a five-year compound annual growth rate of 25.7% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $25.77 million in FY2024 (-6.5%), $27.56 million in FY2023 (-6.5%), $29.47 million in FY2022 (+16.9%) and $25.22 million in FY2021 (+236.4%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q2 2021.
- Year over year, Non-Current Assets has now declined in each of the last seven quarters, with an average decline of 9.3% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q1 2022 (growth of 249.5%); the low point was Q3 2025 (a decline of 21.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $22.81 million (Q1 2026), $23.55 million (Q4 2025) and $24.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.65 Bn | 229.68 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 178.69 Bn | 149.12 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 161.79 Bn | 145.60 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 154.52 Bn | 134.81 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 123.05 Bn | 88.30 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.21 Bn | 103.33 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 67.26 Bn | 62.03 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 54.78 Bn | 51.93 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 51.74 Bn | 35.75 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Cytosorbents | 19.67 Mn | -3.34 Mn | 7.05 Mn | 22.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.22 Mn |
| Mar 31, 2026 | 22.81 Mn |
| Dec 31, 2025 | 23.55 Mn |
| Sep 30, 2025 | 24.44 Mn |
| Jun 30, 2025 | 25.00 Mn |
| Mar 31, 2025 | 25.37 Mn |
| Dec 31, 2024 | 25.77 Mn |
| Sep 30, 2024 | 31.21 Mn |
| Jun 30, 2024 | 31.47 Mn |
| Mar 31, 2024 | 27.08 Mn |
| Dec 31, 2023 | 27.56 Mn |
| Sep 30, 2023 | 28.31 Mn |
| Jun 30, 2023 | 28.80 Mn |
| Mar 31, 2023 | 29.30 Mn |
| Dec 31, 2022 | 29.47 Mn |
| Sep 30, 2022 | 29.89 Mn |
| Jun 30, 2022 | 29.56 Mn |
| Mar 31, 2022 | 27.42 Mn |
| Dec 31, 2021 | 25.22 Mn |
| Sep 30, 2021 | 22.32 Mn |
API Access
Cytosorbents Non-Current Assets 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=non-current-assets&ticker=CTSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();