IceCure Medical (ICCM) Total Liabilities (2020 - 2026)
IceCure Medical's Total Liabilities was $5.81 million in Q2 2026, down 24.5% from $7.7 million a year earlier but up 20.8% from the prior quarter.
Powered by 
Analysis
IceCure Medical (ICCM) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at IceCure Medical came in at $4.84 million, down 14.8% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $5.68 million in FY2024 (+33.6%), $4.25 million in FY2023 (-10.9%), $4.77 million in FY2022 (-10.5%) and $5.32 million in FY2021 (+15.9%).
- Quarterly Total Liabilities has moved between $4.25 million (Q4 2023) and $7.7 million (Q2 2025) over five years.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with growth averaging 11.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2025 (growth of 62.1%); the worst was Q2 2026 (a decline of 24.5%).
- Per Business Quant data, ICCM's Total Liabilities in the three quarters before Q2 2026 was $4.81 million (Q1 2026), $4.84 million (Q4 2025) and $5.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 3.14 Bn |
| 10 | IceCure Medical | 2.27 Mn | -36.78 Mn | 253,000.00 | 5.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.81 Mn |
| Mar 31, 2026 | 4.81 Mn |
| Dec 31, 2025 | 4.84 Mn |
| Sep 30, 2025 | 5.77 Mn |
| Jun 30, 2025 | 7.70 Mn |
| Mar 31, 2025 | 5.10 Mn |
| Dec 31, 2024 | 5.68 Mn |
| Sep 30, 2024 | 5.22 Mn |
| Jun 30, 2024 | 4.75 Mn |
| Mar 31, 2024 | 4.42 Mn |
| Dec 31, 2023 | 4.25 Mn |
| Sep 30, 2023 | 4.63 Mn |
| Jun 30, 2023 | 4.25 Mn |
| Mar 31, 2023 | 4.87 Mn |
| Dec 31, 2022 | 4.77 Mn |
| Sep 30, 2022 | 4.81 Mn |
| Jun 30, 2022 | 4.94 Mn |
| Mar 31, 2022 | 5.75 Mn |
| Dec 31, 2021 | 5.32 Mn |
| Sep 30, 2021 | 5.86 Mn |
API Access
IceCure Medical 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=ICCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ICCM", "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=ICCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();