MBody AI (MBAI) Operating Margin (2015 - 2023)
MBody AI (MBAI) recorded Operating Margin of -98.83% in the year ended Dec 31, 2025, up 19638.34 percentage points from -19737.17% a year earlier.
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Analysis
MBody AI (MBAI) Operating Margin (2015 - 2023) Analysis & Trends
Starting with the year ended Dec 31, 2021, MBody AI's Operating Margin history includes 4 years.
- Annual Operating Margin has a four-year change of -133.30 percentage points (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual Operating Margin since the year ended Dec 31, 2022.
- Per Business Quant data, MBAI's Operating Margin was -19737.17% in the year ended Dec 31, 2024, 33.05% in the year ended Dec 31, 2022 (-1.41 pp) and 34.46% in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 29.48% |
| 10 | MBody AI | 2.05 Mn | 1.83 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 873.13% |
| Jun 30, 2023 | -43.66% |
| Sep 30, 2022 | 1,733.68% |
| Jun 30, 2022 | -31.41% |
| Jun 30, 2015 | 188.13% |
API Access
MBody AI Operating 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=operating-margin&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();