InMode (INMD) EPS (Diluted) (2018 - 2026)
InMode (INMD) recorded EPS (Diluted) of $0.26 in the quarter ended Jun 30, 2026, down 21.4% from $0.33 a year earlier but up 47.6% from the prior quarter.
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Analysis
InMode (INMD) EPS (Diluted) (2018 - 2026) Analysis & Trends
On a TTM basis, InMode's EPS (Diluted) came in at $1.18 as of Jun 30, 2026, down 46.6% year-over-year; for the year ended Dec 31, 2025, it was $1.43, down 36.3% from the prior year.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 10.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EPS (Diluted) came in at $2.25 in the year ended Dec 31, 2024 (-2.3%), $2.30 in the year ended Dec 31, 2023 (+21.8%), $1.89 in the year ended Dec 31, 2022 (-1.4%) and $1.92 in the year ended Dec 31, 2021 (+115.2%).
- Quarterly EPS (Diluted) has ranged from $0.18 in the quarter ended Mar 31, 2026 to $1.03 in the quarter ended Dec 31, 2024 over the past five years.
- On a year-over-year basis, EPS (Diluted) has declined for four consecutive quarters, with an average decline of 10.8% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 69.3% in the quarter ended Sep 30, 2021, against a decline of 59.8% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.18 (quarter ended Mar 31, 2026), $0.41 (quarter ended Dec 31, 2025) and $0.27 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 0.61 |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 0.42 |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 1.37 |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn | 0.26 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.26 |
| Mar 31, 2026 | 0.18 |
| Dec 31, 2025 | 0.41 |
| Sep 30, 2025 | 0.27 |
| Jun 30, 2025 | 0.33 |
| Mar 31, 2025 | 0.23 |
| Dec 31, 2024 | 1.03 |
| Sep 30, 2024 | 0.59 |
| Jun 30, 2024 | 0.28 |
| Mar 31, 2024 | 0.28 |
| Dec 31, 2023 | 0.64 |
| Sep 30, 2023 | 0.54 |
| Jun 30, 2023 | 0.65 |
| Mar 31, 2023 | 0.47 |
| Dec 31, 2022 | 0.44 |
| Sep 30, 2022 | 0.57 |
| Jun 30, 2022 | 0.51 |
| Mar 31, 2022 | 0.36 |
| Dec 31, 2021 | 0.61 |
| Sep 30, 2021 | 0.53 |
API Access
InMode EPS (Diluted) 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=eps-diluted&ticker=INMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();