InspireMD (NSPR) Total Non-Current Liabilities (2010 - 2026)
InspireMD (NSPR) posted Total Non-Current Liabilities of $3.48 million for Q2 2026, down 13.6% from $4.03 million a year earlier but up 2.1% from the prior quarter.
InspireMD (NSPR) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, InspireMD's Total Non-Current Liabilities came in at $3.49 million, up 14.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- In prior years, InspireMD's Total Non-Current Liabilities was $3.04 million in FY2024 (+43.4%), $2.12 million in FY2023 (-3.1%), $2.19 million in FY2022 (+19.5%) and $1.83 million in FY2021 (-4.0%).
- Quarterly Total Non-Current Liabilities has run from a low of $1.78 million in Q1 2022 to a high of $4.03 million in Q2 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 36.5%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2025, with growth of 108.8%; the weakest was Q2 2023, with a decline of 13.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $3.41 million (Q1 2026), $3.49 million (Q4 2025) and $3.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | InspireMD | 58.42 Mn | -131.19 Mn | -774,000.00 | 3.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.48 Mn |
| Mar 31, 2026 | 3.41 Mn |
| Dec 31, 2025 | 3.49 Mn |
| Sep 30, 2025 | 3.54 Mn |
| Jun 30, 2025 | 4.03 Mn |
| Mar 31, 2025 | 2.96 Mn |
| Dec 31, 2024 | 3.04 Mn |
| Sep 30, 2024 | 1.87 Mn |
| Jun 30, 2024 | 1.93 Mn |
| Mar 31, 2024 | 2.06 Mn |
| Dec 31, 2023 | 2.12 Mn |
| Sep 30, 2023 | 2.07 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 2.11 Mn |
| Dec 31, 2022 | 2.19 Mn |
| Sep 30, 2022 | 2.23 Mn |
| Jun 30, 2022 | 2.31 Mn |
| Mar 31, 2022 | 1.78 Mn |
| Dec 31, 2021 | 1.83 Mn |
| Sep 30, 2021 | 1.82 Mn |
InspireMD Total Non-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-non-current-liabilities&ticker=NSPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NSPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();