InMode (INMD) EBITDA (2018 - 2026)
InMode's EBITDA was $12.44 million in the quarter ended Jun 30, 2026, down 46.1% from $23.07 million a year earlier but up 21.6% from the prior quarter.
InMode (INMD) EBITDA (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, InMode's EBITDA was $69.89 million through Jun 30, 2026, down 39.4% year-over-year; for the year ended Dec 31, 2025, it came in at $86.08 million, down 24.0% from the prior year.
- EBITDA has now declined for three consecutive years, though with a five-year compound annual growth rate of 3.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, EBITDA was $113.26 million in the year ended Dec 31, 2024 (-42.3%), $196.28 million in the year ended Dec 31, 2023 (-1.1%), $198.53 million in the year ended Dec 31, 2022 (+18.2%) and $167.99 million in the year ended Dec 31, 2021 (+129.3%).
- Quarterly EBITDA has moved between $10.23 million (the quarter ended Mar 31, 2026) and $60.12 million (the quarter ended Dec 31, 2022) over five years.
- Compared with a year earlier, EBITDA has declined for four straight quarters, with an average decline of 21.8% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was the quarter ended Sep 30, 2021 (growth of 93.0%); the worst was the quarter ended Jun 30, 2024 (a decline of 67.7%).
- Per Business Quant data, INMD's EBITDA in the three quarters before the quarter ended Jun 30, 2026 was $10.23 million (quarter ended Mar 31, 2026), $26.17 million (quarter ended Dec 31, 2025) and $21.05 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 1.23 Bn |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn | 12.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.44 Mn |
| Mar 31, 2026 | 10.23 Mn |
| Dec 31, 2025 | 26.17 Mn |
| Sep 30, 2025 | 21.05 Mn |
| Jun 30, 2025 | 23.07 Mn |
| Mar 31, 2025 | 15.79 Mn |
| Dec 31, 2024 | 28.11 Mn |
| Sep 30, 2024 | 48.40 Mn |
| Jun 30, 2024 | 18.49 Mn |
| Mar 31, 2024 | 18.26 Mn |
| Dec 31, 2023 | 51.37 Mn |
| Sep 30, 2023 | 46.54 Mn |
| Jun 30, 2023 | 57.19 Mn |
| Mar 31, 2023 | 41.19 Mn |
| Dec 31, 2022 | 60.12 Mn |
| Sep 30, 2022 | 53.91 Mn |
| Jun 30, 2022 | 49.36 Mn |
| Mar 31, 2022 | 35.15 Mn |
| Dec 31, 2021 | 54.29 Mn |
| Sep 30, 2021 | 45.15 Mn |
InMode EBITDA 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=ebitda&ticker=INMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();