InMode (INMD) Receivables - Net (2018 - 2026)
InMode (INMD) recorded Receivables - Net of $44.56 million in 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 - Net (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, InMode reported Receivables - Net of $46.51 million, up 17.7% from the prior year.
- Annual Receivables - Net has a five-year compound annual growth rate of 33.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables - Net came in at $39.51 million in the year ended Dec 31, 2024 (-14.2%), $46.03 million in the year ended Dec 31, 2023 (+48.6%), $30.97 million in the year ended Dec 31, 2022 (+47.4%) and $21 million in the year ended Dec 31, 2021 (+91.4%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Receivables - Net since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Receivables - Net has increased for three consecutive quarters, with growth averaging 3.4% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 783.8% in the quarter ended Jun 30, 2023, against a decline of 14.2% in the quarter ended Dec 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.7 million (quarter ended Mar 31, 2026), $43.5 million (quarter ended Dec 31, 2025) and $38.1 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.56 Mn |
| Mar 31, 2026 | 40.70 Mn |
| Dec 31, 2025 | 43.50 Mn |
| Sep 30, 2025 | 38.10 Mn |
| Jun 30, 2025 | 35.65 Mn |
| Mar 31, 2025 | 32.37 Mn |
| Dec 31, 2024 | 39.51 Mn |
| Sep 30, 2024 | 40.78 Mn |
| Jun 30, 2024 | 38.15 Mn |
| Mar 31, 2024 | 33.10 Mn |
| Dec 31, 2023 | 46.03 Mn |
| Sep 30, 2023 | 42.69 Mn |
| Jun 30, 2023 | 32.57 Mn |
| Mar 31, 2023 | 3.88 Mn |
| Dec 31, 2022 | 30.97 Mn |
| Sep 30, 2022 | 3.77 Mn |
| Jun 30, 2022 | 3.69 Mn |
| Mar 31, 2022 | 737,000.00 |
| Dec 31, 2021 | 21.00 Mn |
| Sep 30, 2021 | 450,000.00 |
API Access
InMode Receivables - Net 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-net&ticker=INMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();