InspireMD (NSPR) Total Liabilities (2010 - 2026)
InspireMD's Total Liabilities came in at $13.13 million for Q2 2026, up 0.2% from $13.1 million a year earlier and up 2.1% from the prior quarter.
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Analysis
InspireMD (NSPR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, InspireMD's Total Liabilities was $14.2 million, up 32.5% from FY2024.
- Total Liabilities has increased in each of the last eight years, with a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $10.72 million in FY2024 (+31.7%), $8.14 million in FY2023 (+12.1%), $7.26 million in FY2022 (+17.5%) and $6.18 million in FY2021 (+10.1%).
- The five-year range for quarterly Total Liabilities is $5.47 million (Q1 2022) to $14.36 million (Q3 2025).
- Year-over-year, Total Liabilities has increased for 12 consecutive quarters, with growth averaging 34.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2025 (growth of 57.3%), and the weakest in Q2 2023 (a decline of 2.8%).
- Business Quant data shows NSPR's Total Liabilities at $12.85 million (Q1 2026), $14.2 million (Q4 2025) and $14.36 million (Q3 2025) in the three quarters before Q2 2026.
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 | InspireMD | 58.42 Mn | -131.19 Mn | -774,000.00 | 13.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.13 Mn |
| Mar 31, 2026 | 12.85 Mn |
| Dec 31, 2025 | 14.20 Mn |
| Sep 30, 2025 | 14.36 Mn |
| Jun 30, 2025 | 13.10 Mn |
| Mar 31, 2025 | 10.33 Mn |
| Dec 31, 2024 | 10.72 Mn |
| Sep 30, 2024 | 9.13 Mn |
| Jun 30, 2024 | 8.90 Mn |
| Mar 31, 2024 | 6.94 Mn |
| Dec 31, 2023 | 8.14 Mn |
| Sep 30, 2023 | 6.76 Mn |
| Jun 30, 2023 | 6.83 Mn |
| Mar 31, 2023 | 6.50 Mn |
| Dec 31, 2022 | 7.26 Mn |
| Sep 30, 2022 | 6.19 Mn |
| Jun 30, 2022 | 7.02 Mn |
| Mar 31, 2022 | 5.47 Mn |
| Dec 31, 2021 | 6.18 Mn |
| Sep 30, 2021 | 5.54 Mn |
API Access
InspireMD 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=NSPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NSPR", "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=NSPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();