InMode (INMD) Prepaid Assets (2021 - 2026)
InMode's Prepaid Assets came in at $32.66 million for the quarter ended Jun 30, 2026, up 34.2% from $24.33 million a year earlier and up 3.7% from the prior quarter.
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Analysis
InMode (INMD) Prepaid Assets (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, InMode's Prepaid Assets was $25.73 million, up 16.5% from the prior year.
- Prepaid Assets has increased in each of the last four years, with a four-year compound annual growth rate of 115.1% (years ended Dec 2021 to Dec 2025).
- Going back by year, Prepaid Assets was $22.1 million in the year ended Dec 31, 2024 (+626.6%), $3.04 million in the year ended Dec 31, 2023 (+57.7%), $1.93 million in the year ended Dec 31, 2022 (+60.3%) and $1.2 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Prepaid Assets in data going back to the quarter ended Dec 31, 2021.
- Year-over-year, Prepaid Assets has increased for seven consecutive quarters, with growth averaging 105.9% over the last seven quarters.
- Across the past five years, year-over-year growth in Prepaid Assets ran from 0.2% in the quarter ended Sep 30, 2025 to 626.6% in the quarter ended Dec 31, 2024.
- Business Quant data shows INMD's Prepaid Assets at $31.51 million (quarter ended Mar 31, 2026), $25.73 million (quarter ended Dec 31, 2025) and $24.49 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | InMode | 897.79 Mn | -728.83 Mn | 71.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.66 Mn |
| Mar 31, 2026 | 31.51 Mn |
| Dec 31, 2025 | 25.73 Mn |
| Sep 30, 2025 | 24.49 Mn |
| Jun 30, 2025 | 24.33 Mn |
| Mar 31, 2025 | 25.56 Mn |
| Dec 31, 2024 | 22.10 Mn |
| Sep 30, 2024 | 24.45 Mn |
| Jun 30, 2024 | 23.00 Mn |
| Mar 31, 2024 | 18.94 Mn |
| Dec 31, 2023 | 3.04 Mn |
| Dec 31, 2022 | 1.93 Mn |
| Dec 31, 2021 | 1.20 Mn |
API Access
InMode Prepaid 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=prepaid-assets&ticker=INMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();