InspireMD (NSPR) Operating Expenses (2010 - 2026)
InspireMD (NSPR) reported Operating Expenses of $13.67 million for Q2 2026, up 2.5% from $13.33 million a year earlier but down 6.8% from the prior quarter.
InspireMD (NSPR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, InspireMD's Operating Expenses came in at $55.52 million, up 26.8% year-over-year; for FY2025, it was $52.26 million, up 49.3% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 37.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $35.01 million in FY2024 (+52.5%), $22.95 million in FY2023 (+15.7%), $19.83 million in FY2022 (+28.2%) and $15.47 million in FY2021 (+47.9%).
- Five-year quarterly Operating Expenses spans a low of $4.12 million in Q3 2021 and a high of $14.67 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last 24 quarters, with growth averaging 41.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 2.5% (Q2 2026) to 65.4% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.67 million (Q1 2026), $13.26 million (Q4 2025) and $13.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | InspireMD | 58.42 Mn | -131.19 Mn | -774,000.00 | 13.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.67 Mn |
| Mar 31, 2026 | 14.67 Mn |
| Dec 31, 2025 | 13.26 Mn |
| Sep 30, 2025 | 13.92 Mn |
| Jun 30, 2025 | 13.33 Mn |
| Mar 31, 2025 | 11.75 Mn |
| Dec 31, 2024 | 9.84 Mn |
| Sep 30, 2024 | 8.88 Mn |
| Jun 30, 2024 | 8.59 Mn |
| Mar 31, 2024 | 7.71 Mn |
| Dec 31, 2023 | 6.31 Mn |
| Sep 30, 2023 | 6.08 Mn |
| Jun 30, 2023 | 5.81 Mn |
| Mar 31, 2023 | 4.75 Mn |
| Dec 31, 2022 | 5.13 Mn |
| Sep 30, 2022 | 4.98 Mn |
| Jun 30, 2022 | 5.11 Mn |
| Mar 31, 2022 | 4.61 Mn |
| Dec 31, 2021 | 4.23 Mn |
| Sep 30, 2021 | 4.12 Mn |
InspireMD Operating Expenses 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=operating-expenses&ticker=NSPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NSPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();