InMode (INMD) Payables (2018 - 2026)
InMode's Payables came in at $18.79 million for the quarter ended Jun 30, 2026, up 7.5% from $17.48 million a year earlier and up 11.5% from the prior quarter.
InMode (INMD) Payables (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, InMode's Payables was $17.91 million, up 30.0% from the prior year.
- Payables carries a five-year compound annual growth rate of 22.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Payables was $13.78 million in the year ended Dec 31, 2024 (-1.3%), $13.97 million in the year ended Dec 31, 2023 (-14.0%), $16.24 million in the year ended Dec 31, 2022 (+85.0%) and $8.78 million in the year ended Dec 31, 2021 (+37.0%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Payables in data going back to the quarter ended Dec 31, 2018.
- Year-over-year, Payables has increased for six consecutive quarters, with growth averaging 13.4% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in the quarter ended Sep 30, 2021 (growth of 107.4%), and the weakest in the quarter ended Dec 31, 2023 (a decline of 14.0%).
- Business Quant data shows INMD's Payables at $16.85 million (quarter ended Mar 31, 2026), $17.91 million (quarter ended Dec 31, 2025) and $16.72 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 6.11 Bn |
| 10 | InMode | 900.96 Mn | -725.66 Mn | 71.52 Mn | 18.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.79 Mn |
| Mar 31, 2026 | 16.85 Mn |
| Dec 31, 2025 | 17.91 Mn |
| Sep 30, 2025 | 16.72 Mn |
| Jun 30, 2025 | 17.48 Mn |
| Mar 31, 2025 | 15.05 Mn |
| Dec 31, 2024 | 13.78 Mn |
| Sep 30, 2024 | 14.31 Mn |
| Jun 30, 2024 | 15.55 Mn |
| Mar 31, 2024 | 13.22 Mn |
| Dec 31, 2023 | 13.97 Mn |
| Sep 30, 2023 | 12.33 Mn |
| Jun 30, 2023 | 13.30 Mn |
| Mar 31, 2023 | 11.99 Mn |
| Dec 31, 2022 | 16.24 Mn |
| Sep 30, 2022 | 13.30 Mn |
| Jun 30, 2022 | 11.83 Mn |
| Mar 31, 2022 | 9.54 Mn |
| Dec 31, 2021 | 8.78 Mn |
| Sep 30, 2021 | 8.88 Mn |
InMode Payables 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=payables&ticker=INMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=INMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();