InMode (INMD) Other Accumulated Expenses (2018 - 2026)
InMode (INMD) recorded Other Accumulated Expenses of $45.19 million in the quarter ended Jun 30, 2026, up 25.3% from $36.06 million a year earlier and up 2.4% from the prior quarter.
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Analysis
InMode (INMD) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, InMode reported Other Accumulated Expenses of $40.74 million, up 3.6% from the prior year.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 19.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $39.31 million in the year ended Dec 31, 2024 (+0.2%), $39.25 million in the year ended Dec 31, 2023 (-24.5%), $51.98 million in the year ended Dec 31, 2022 (+77.6%) and $29.27 million in the year ended Dec 31, 2021 (+75.0%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Other Accumulated Expenses since the quarter ended Dec 31, 2022.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 83.1% in the quarter ended Sep 30, 2021, against a decline of 24.5% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.13 million (quarter ended Mar 31, 2026), $40.74 million (quarter ended Dec 31, 2025) and $36.51 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | InMode | 892.72 Mn | -733.90 Mn | 71.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.19 Mn |
| Mar 31, 2026 | 44.13 Mn |
| Dec 31, 2025 | 40.74 Mn |
| Sep 30, 2025 | 36.51 Mn |
| Jun 30, 2025 | 36.06 Mn |
| Mar 31, 2025 | 41.75 Mn |
| Dec 31, 2024 | 39.31 Mn |
| Sep 30, 2024 | 44.16 Mn |
| Jun 30, 2024 | 38.53 Mn |
| Mar 31, 2024 | 31.26 Mn |
| Dec 31, 2023 | 39.25 Mn |
| Sep 30, 2023 | 39.23 Mn |
| Jun 30, 2023 | 36.34 Mn |
| Mar 31, 2023 | 30.39 Mn |
| Dec 31, 2022 | 51.98 Mn |
| Sep 30, 2022 | 32.18 Mn |
| Jun 30, 2022 | 28.05 Mn |
| Mar 31, 2022 | 23.95 Mn |
| Dec 31, 2021 | 29.27 Mn |
| Sep 30, 2021 | 32.18 Mn |
API Access
InMode Other Accumulated Expenses 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=other-accumulated-expenses&ticker=INMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();