InMode (INMD) Assets (2017 - 2026)
InMode (INMD) reported Assets of $720.33 million for the quarter ended Jun 30, 2026, up 1.7% from $708.35 million a year earlier but down 4.1% from the prior quarter.
InMode (INMD) Assets (2017 - 2026) Analysis & Trends
As of Dec 31, 2025, InMode posted Assets of $766.43 million, down 2.4% from the prior year.
- Assets has a five-year compound annual growth rate of 21.0% (years ended Dec 2020 to Dec 2025).
- By year, Assets came in at $785.67 million in the year ended Dec 31, 2024 (-9.0%), $863.29 million in the year ended Dec 31, 2023 (+34.0%), $644.41 million in the year ended Dec 31, 2022 (+34.7%) and $478.54 million in the year ended Dec 31, 2021 (+61.8%).
- Five-year quarterly Assets spans a low of $447.66 million in the quarter ended Sep 30, 2021 and a high of $891.74 million in the quarter ended Mar 31, 2024.
- Year over year, Assets gained in three of the last eight quarters, with an average decline of 6.1%.
- The high point for year-over-year Assets in five years was the quarter ended Sep 30, 2021 (growth of 63.3%); the low point was the quarter ended Mar 31, 2025 (a decline of 21.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $750.84 million (quarter ended Mar 31, 2026), $766.43 million (quarter ended Dec 31, 2025) and $734.61 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.87 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 50.73 Bn |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn | 720.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 720.33 Mn |
| Mar 31, 2026 | 750.84 Mn |
| Dec 31, 2025 | 766.43 Mn |
| Sep 30, 2025 | 734.61 Mn |
| Jun 30, 2025 | 708.35 Mn |
| Mar 31, 2025 | 704.74 Mn |
| Dec 31, 2024 | 785.67 Mn |
| Sep 30, 2024 | 824.03 Mn |
| Jun 30, 2024 | 859.84 Mn |
| Mar 31, 2024 | 891.74 Mn |
| Dec 31, 2023 | 863.29 Mn |
| Sep 30, 2023 | 793.53 Mn |
| Jun 30, 2023 | 734.08 Mn |
| Mar 31, 2023 | 669.61 Mn |
| Dec 31, 2022 | 644.41 Mn |
| Sep 30, 2022 | 578.98 Mn |
| Jun 30, 2022 | 523.21 Mn |
| Mar 31, 2022 | 464.47 Mn |
| Dec 31, 2021 | 478.54 Mn |
| Sep 30, 2021 | 447.66 Mn |
InMode Assets 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=assets&ticker=INMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();