InMode (INMD) EV to EBIT (2019 - 2026)
InMode's EV to EBIT was 7.39 in the quarter ended Jun 30, 2026, up 40.0% from 5.28 a year earlier and up 41.9% from the prior quarter.
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Analysis
InMode (INMD) EV to EBIT (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, InMode's EV to EBIT was -10.12 through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at 6.38, down 13.8% from the prior year.
- EV to EBIT has now declined for four consecutive years.
- In earlier years, EV to EBIT was 7.40 in the year ended Dec 31, 2024 (-3.4%), 7.67 in the year ended Dec 31, 2023 (-45.3%), 14.02 in the year ended Dec 31, 2022 (-59.1%) and 34.24 in the year ended Dec 31, 2021 (+57.4%).
- Quarterly EV to EBIT has moved between 5.20 (the quarter ended Mar 31, 2026) and 38.25 (the quarter ended Sep 30, 2021) over five years.
- Compared with a year earlier, EV to EBIT was higher in three of the last eight quarters, with an average decline of 8.3%.
- The best year-over-year quarter for EV to EBIT over five years was the quarter ended Sep 30, 2021 (growth of 112.7%); the worst was the quarter ended Sep 30, 2022 (a decline of 72.7%).
- Per Business Quant data, INMD's EV to EBIT in the three quarters before the quarter ended Jun 30, 2026 was 5.20 (quarter ended Mar 31, 2026), 6.38 (quarter ended Dec 31, 2025) and 7.59 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.39 |
| Mar 31, 2026 | 5.20 |
| Dec 31, 2025 | 6.38 |
| Sep 30, 2025 | 7.59 |
| Jun 30, 2025 | 5.28 |
| Mar 31, 2025 | 7.85 |
| Dec 31, 2024 | 7.40 |
| Sep 30, 2024 | 7.19 |
| Jun 30, 2024 | 8.25 |
| Mar 31, 2024 | 7.54 |
| Dec 31, 2023 | 7.90 |
| Sep 30, 2023 | 9.76 |
| Jun 30, 2023 | 11.92 |
| Mar 31, 2023 | 10.50 |
| Dec 31, 2022 | 14.17 |
| Sep 30, 2022 | 10.43 |
| Jun 30, 2022 | 8.03 |
| Mar 31, 2022 | 15.48 |
| Dec 31, 2021 | 34.24 |
| Sep 30, 2021 | 38.25 |
API Access
InMode EV to EBIT 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=ev-to-ebit&ticker=INMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "INMD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebit&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();