InspireMD (NSPR) Total Non-Current Liabilities (2010 - 2026)
InspireMD (NSPR) posted Total Non-Current Liabilities of $3.25 million for Q3 2026, down 8.3% from $3.54 million a year earlier and down 6.8% 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%).
- The Q3 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 36.7%.
- 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 $3.48 million (Q2 2026), $3.41 million (Q1 2026) and $3.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 17.66 Bn |
| 10 | InspireMD | 54.18 Mn | 54.18 Mn | 240,000.00 | 3.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.25 Mn |
| 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 |
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();