Cytosorbents (CTSO) Short term Debt (2016 - 2026)
Cytosorbents (CTSO) reported Short term Debt of $14.15 million for Q2 2026, up 112.9% from the prior quarter.
Powered by 
Analysis
Cytosorbents (CTSO) Short term Debt (2016 - 2026) Analysis & Trends
At the end of FY2023, Cytosorbents posted Short term Debt of $2.5 million.
- Short term Debt has a five-year compound annual growth rate of 30.3% (FY2018 to FY2023).
- By year, Short term Debt came in at $1.67 million in FY2019 (+150.0%).
- The Q2 2026 figure ranks as the highest quarterly Short term Debt in data going back to Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Cytosorbents | 12.57 Mn | -10.44 Mn | 7.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.15 Mn |
| Mar 31, 2026 | 6.65 Mn |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Sep 30, 2023 | 833,333.00 |
| Sep 30, 2020 | 9.17 Mn |
| Jun 30, 2020 | 6.67 Mn |
| Mar 31, 2020 | 4.17 Mn |
| Dec 31, 2019 | 1.67 Mn |
| Sep 30, 2019 | 3.13 Mn |
| Jun 30, 2019 | 833,333.00 |
| Mar 31, 2019 | 1.67 Mn |
| Dec 31, 2018 | 666,667.00 |
| Dec 31, 2017 | 4.00 Mn |
| Sep 30, 2017 | 3.00 Mn |
| Jun 30, 2017 | 2.00 Mn |
| Mar 31, 2017 | 1.25 Mn |
| Dec 31, 2016 | 833,333.00 |
| Sep 30, 2016 | 416,667.00 |
API Access
Cytosorbents Short term Debt 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=short-term-debt&ticker=CTSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=CTSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();