Cytosorbents (CTSO) Total Current Liabilities (2010 - 2026)
Cytosorbents' Total Current Liabilities came in at $24.02 million for Q2 2026, up 144.1% from $9.84 million a year earlier and up 47.4% from the prior quarter.
Cytosorbents (CTSO) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytosorbents' Total Current Liabilities was $9.71 million, down 1.2% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $9.83 million in FY2024 (-30.0%), $14.04 million in FY2023 (+44.5%), $9.71 million in FY2022 (-29.0%) and $13.69 million in FY2021 (+34.8%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 19.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2026 (growth of 144.1%), and the weakest in Q3 2021 (a decline of 36.2%).
- Business Quant data shows CTSO's Total Current Liabilities at $16.3 million (Q1 2026), $9.71 million (Q4 2025) and $10.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Cytosorbents | 12.57 Mn | -10.44 Mn | 7.05 Mn | 24.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.02 Mn |
| Mar 31, 2026 | 16.30 Mn |
| Dec 31, 2025 | 9.71 Mn |
| Sep 30, 2025 | 10.11 Mn |
| Jun 30, 2025 | 9.84 Mn |
| Mar 31, 2025 | 9.74 Mn |
| Dec 31, 2024 | 9.83 Mn |
| Sep 30, 2024 | 8.28 Mn |
| Jun 30, 2024 | 9.64 Mn |
| Mar 31, 2024 | 12.72 Mn |
| Dec 31, 2023 | 14.04 Mn |
| Sep 30, 2023 | 11.67 Mn |
| Jun 30, 2023 | 9.99 Mn |
| Mar 31, 2023 | 9.45 Mn |
| Dec 31, 2022 | 9.71 Mn |
| Sep 30, 2022 | 10.12 Mn |
| Jun 30, 2022 | 10.55 Mn |
| Mar 31, 2022 | 14.67 Mn |
| Dec 31, 2021 | 13.69 Mn |
| Sep 30, 2021 | 11.07 Mn |
Cytosorbents Total Current 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-current-liabilities&ticker=CTSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();