Cytosorbents (CTSO) Total Liabilities (2010 - 2026)
Cytosorbents (CTSO) recorded Total Liabilities of $38.71 million in Q2 2026, up 6.3% from $36.4 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Cytosorbents (CTSO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytosorbents reported Total Liabilities of $38.28 million, up 5.6% from FY2024.
- Annual Total Liabilities has increased for five straight years, with a five-year compound annual growth rate of 29.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $36.27 million in FY2024 (+23.0%), $29.48 million in FY2023 (+5.8%), $27.86 million in FY2022 (+3.4%) and $26.94 million in FY2021 (+151.0%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for nine consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 172.4% in Q1 2022, against a decline of 5.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.37 million (Q1 2026), $38.28 million (Q4 2025) and $36.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Cytosorbents | 12.57 Mn | -10.44 Mn | 7.05 Mn | 38.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.71 Mn |
| Mar 31, 2026 | 38.37 Mn |
| Dec 31, 2025 | 38.28 Mn |
| Sep 30, 2025 | 36.73 Mn |
| Jun 30, 2025 | 36.40 Mn |
| Mar 31, 2025 | 36.24 Mn |
| Dec 31, 2024 | 36.27 Mn |
| Sep 30, 2024 | 34.42 Mn |
| Jun 30, 2024 | 36.00 Mn |
| Mar 31, 2024 | 27.44 Mn |
| Dec 31, 2023 | 29.48 Mn |
| Sep 30, 2023 | 28.76 Mn |
| Jun 30, 2023 | 27.98 Mn |
| Mar 31, 2023 | 27.52 Mn |
| Dec 31, 2022 | 27.86 Mn |
| Sep 30, 2022 | 23.13 Mn |
| Jun 30, 2022 | 23.65 Mn |
| Mar 31, 2022 | 27.84 Mn |
| Dec 31, 2021 | 26.94 Mn |
| Sep 30, 2021 | 24.46 Mn |
API Access
Cytosorbents Total Liabilities 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=total-liabilities&ticker=CTSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();