InMode (INMD) Operating Leases (2019 - 2026)
InMode (INMD) recorded Operating Leases of $4.45 million in the quarter ended Jun 30, 2026, down 27.1% from $6.1 million a year earlier and down 7.8% from the prior quarter.
InMode (INMD) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, InMode reported Operating Leases of $5.01 million, down 5.7% from the prior year.
- Annual Operating Leases has a five-year compound annual growth rate of 69.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Leases came in at $5.31 million in the year ended Dec 31, 2024 (-19.7%), $6.61 million in the year ended Dec 31, 2023 (+88.5%), $3.51 million in the year ended Dec 31, 2022 (+6.1%) and $3.31 million in the year ended Dec 31, 2021 (+823.7%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Operating Leases since the quarter ended Sep 30, 2023.
- On a year-over-year basis, Operating Leases has declined for three consecutive quarters, with an average decline of 1.9% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 823.7% in the quarter ended Dec 31, 2021, against a decline of 27.1% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.83 million (quarter ended Mar 31, 2026), $5.01 million (quarter ended Dec 31, 2025) and $5.59 million (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.45 Mn |
| Mar 31, 2026 | 4.83 Mn |
| Dec 31, 2025 | 5.01 Mn |
| Sep 30, 2025 | 5.59 Mn |
| Jun 30, 2025 | 6.10 Mn |
| Mar 31, 2025 | 5.59 Mn |
| Dec 31, 2024 | 5.31 Mn |
| Sep 30, 2024 | 5.32 Mn |
| Jun 30, 2024 | 5.67 Mn |
| Mar 31, 2024 | 6.21 Mn |
| Dec 31, 2023 | 6.61 Mn |
| Sep 30, 2023 | 3.58 Mn |
| Jun 30, 2023 | 3.62 Mn |
| Mar 31, 2023 | 3.53 Mn |
| Dec 31, 2022 | 3.51 Mn |
| Sep 30, 2022 | 3.66 Mn |
| Jun 30, 2022 | 3.68 Mn |
| Mar 31, 2022 | 3.08 Mn |
| Dec 31, 2021 | 3.31 Mn |
| Sep 30, 2021 | 3.55 Mn |
InMode Operating Leases 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-leases&ticker=INMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();