InMode (INMD) Total Liabilities (2017 - 2026)
InMode (INMD) posted Total Liabilities of $91.2 million for the quarter ended Jun 30, 2026, up 14.1% from $79.91 million a year earlier and up 1.8% from the prior quarter.
InMode (INMD) Total Liabilities (2017 - 2026) Analysis & Trends
As of Dec 31, 2025, InMode's Total Liabilities came in at $83.23 million, up 1.7% from the prior year.
- Annual Total Liabilities shows a five-year compound annual growth rate of 15.6% (years ended Dec 2020 to Dec 2025).
- In prior years, InMode's Total Liabilities was $81.85 million in the year ended Dec 31, 2024 (+7.8%), $75.91 million in the year ended Dec 31, 2023 (-15.5%), $89.79 million in the year ended Dec 31, 2022 (+43.1%) and $62.74 million in the year ended Dec 31, 2021 (+55.7%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Total Liabilities since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was the quarter ended Jun 30, 2024, with growth of 60.0%; the weakest was the quarter ended Jun 30, 2025, with a decline of 26.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $89.58 million (quarter ended Mar 31, 2026), $83.23 million (quarter ended Dec 31, 2025) and $81.22 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn | 91.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.20 Mn |
| Mar 31, 2026 | 89.58 Mn |
| Dec 31, 2025 | 83.23 Mn |
| Sep 30, 2025 | 81.22 Mn |
| Jun 30, 2025 | 79.91 Mn |
| Mar 31, 2025 | 85.31 Mn |
| Dec 31, 2024 | 81.85 Mn |
| Sep 30, 2024 | 87.14 Mn |
| Jun 30, 2024 | 108.72 Mn |
| Mar 31, 2024 | 76.30 Mn |
| Dec 31, 2023 | 75.91 Mn |
| Sep 30, 2023 | 70.03 Mn |
| Jun 30, 2023 | 67.93 Mn |
| Mar 31, 2023 | 66.63 Mn |
| Dec 31, 2022 | 89.79 Mn |
| Sep 30, 2022 | 70.68 Mn |
| Jun 30, 2022 | 70.39 Mn |
| Mar 31, 2022 | 61.15 Mn |
| Dec 31, 2021 | 62.74 Mn |
| Sep 30, 2021 | 63.63 Mn |
InMode Total Liabilities 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=total-liabilities&ticker=INMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();