InMode (INMD) Receivables (2018 - 2026)
InMode's Receivables came in at $44.56 million for the quarter ended Jun 30, 2026, up 25.0% from $35.65 million a year earlier and up 9.5% from the prior quarter.
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Analysis
InMode (INMD) Receivables (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, InMode's Receivables was $72.24 million, up 17.3% from the prior year.
- Receivables carries a five-year compound annual growth rate of 37.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables was $61.61 million in the year ended Dec 31, 2024 (-1.1%), $62.3 million in the year ended Dec 31, 2023 (+35.2%), $46.06 million in the year ended Dec 31, 2022 (+35.7%) and $33.94 million in the year ended Dec 31, 2021 (+133.3%).
- The five-year range for quarterly Receivables is $11.22 million (the quarter ended Sep 30, 2021) to $69.24 million (the quarter ended Dec 31, 2025).
- Year-over-year, Receivables has increased for three consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in the quarter ended Sep 30, 2023 (growth of 254.8%), and the weakest in the quarter ended Sep 30, 2024 (a decline of 34.3%).
- Business Quant data shows INMD's Receivables at $40.7 million (quarter ended Mar 31, 2026), $69.24 million (quarter ended Dec 31, 2025) and $38.1 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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.36 Bn |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn | 44.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.56 Mn |
| Mar 31, 2026 | 40.70 Mn |
| Dec 31, 2025 | 69.24 Mn |
| Sep 30, 2025 | 38.10 Mn |
| Jun 30, 2025 | 35.65 Mn |
| Mar 31, 2025 | 32.37 Mn |
| Dec 31, 2024 | 61.61 Mn |
| Sep 30, 2024 | 40.78 Mn |
| Jun 30, 2024 | 38.15 Mn |
| Mar 31, 2024 | 33.10 Mn |
| Dec 31, 2023 | 62.30 Mn |
| Sep 30, 2023 | 62.08 Mn |
| Jun 30, 2023 | 51.22 Mn |
| Mar 31, 2023 | 18.69 Mn |
| Dec 31, 2022 | 46.06 Mn |
| Sep 30, 2022 | 17.50 Mn |
| Jun 30, 2022 | 18.23 Mn |
| Mar 31, 2022 | 14.92 Mn |
| Dec 31, 2021 | 33.94 Mn |
| Sep 30, 2021 | 11.22 Mn |
API Access
InMode Receivables 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=receivables&ticker=INMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();