MBody AI (MBAI) Net Margin (2015 - 2023)
MBody AI (MBAI) posted Net Margin of 193.63% for the year ended Dec 31, 2025, up 191.36 percentage points from 2.27% a year earlier.
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Analysis
MBody AI (MBAI) Net Margin (2015 - 2023) Analysis & Trends
Since the year ended Dec 31, 2021, MBody AI has reported Net Margin for 4 years.
- Annual Net Margin shows a four-year change of +159.40 percentage points (years ended Dec 2021 to Dec 2025).
- Business Quant data shows MBAI's Net Margin at 2.27% in the year ended Dec 31, 2024, 31.52% in the year ended Dec 31, 2022 (-2.70 pp) and 34.23% in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 13.89% |
| 10 | MBody AI | 2.10 Mn | 1.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 773.13% |
| Jun 30, 2023 | -40.43% |
| Sep 30, 2022 | 1,633.68% |
| Jun 30, 2022 | -30.89% |
| Jun 30, 2015 | 178.46% |
API Access
MBody AI Net Margin 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=net-margin&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "MBAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();