InMode (INMD) EBIT (2018 - 2026)
InMode (INMD) recorded EBIT of $12.26 million in the quarter ended Jun 30, 2026, down 46.4% from $22.88 million a year earlier but up 21.9% from the prior quarter.
InMode (INMD) EBIT (2018 - 2026) Analysis & Trends
On a TTM basis, InMode's EBIT came in at $69.2 million as of Jun 30, 2026, down 39.6% year-over-year; for the year ended Dec 31, 2025, it was $85.39 million, down 24.1% from the prior year.
- Annual EBIT has declined for three straight years, though with a five-year compound annual growth rate of 3.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EBIT came in at $112.53 million in the year ended Dec 31, 2024 (-42.5%), $195.66 million in the year ended Dec 31, 2023 (-1.1%), $197.85 million in the year ended Dec 31, 2022 (+18.1%) and $167.48 million in the year ended Dec 31, 2021 (+129.9%).
- Quarterly EBIT has ranged from $10.06 million in the quarter ended Mar 31, 2026 to $59.9 million in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, EBIT has declined for four consecutive quarters, with an average decline of 22.0% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 93.3% in the quarter ended Sep 30, 2021, against a decline of 67.9% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.06 million (quarter ended Mar 31, 2026), $25.99 million (quarter ended Dec 31, 2025) and $20.9 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 663.00 Mn |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn | 12.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.26 Mn |
| Mar 31, 2026 | 10.06 Mn |
| Dec 31, 2025 | 25.99 Mn |
| Sep 30, 2025 | 20.90 Mn |
| Jun 30, 2025 | 22.88 Mn |
| Mar 31, 2025 | 15.62 Mn |
| Dec 31, 2024 | 27.86 Mn |
| Sep 30, 2024 | 48.26 Mn |
| Jun 30, 2024 | 18.31 Mn |
| Mar 31, 2024 | 18.09 Mn |
| Dec 31, 2023 | 51.24 Mn |
| Sep 30, 2023 | 46.41 Mn |
| Jun 30, 2023 | 57.01 Mn |
| Mar 31, 2023 | 41.00 Mn |
| Dec 31, 2022 | 59.90 Mn |
| Sep 30, 2022 | 53.75 Mn |
| Jun 30, 2022 | 49.20 Mn |
| Mar 31, 2022 | 35.01 Mn |
| Dec 31, 2021 | 54.15 Mn |
| Sep 30, 2021 | 45.02 Mn |
InMode 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=ebit&ticker=INMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebit&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();