MBody AI (MBAI) Revenue (2015 - 2023)
MBody AI (MBAI) recorded Revenue of $2.4 million in the year ended Dec 31, 2025, compared with $47,940 a year earlier.
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Analysis
MBody AI (MBAI) Revenue (2015 - 2023) Analysis & Trends
Starting with the year ended Dec 31, 2021, MBody AI's Revenue history includes 4 years.
- Annual Revenue has a four-year compound annual growth rate of -53.2% (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual Revenue since the year ended Dec 31, 2022.
- Per Business Quant data, MBAI's Revenue was $47,940 in the year ended Dec 31, 2024, $60.62 million in the year ended Dec 31, 2022 (+20.6%) and $50.26 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.25 Bn | 239.28 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.52 Bn | 141.95 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 164.21 Bn | 148.02 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 151.90 Bn | 131.32 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 119.57 Bn | 84.82 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 112.94 Bn | 99.06 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 64.83 Bn | 59.60 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 53.28 Bn | 50.43 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.54 Bn | 34.55 Bn | 1.35 Bn | 1.74 Bn |
| 10 | MBody AI | 2.10 Mn | 1.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 335,000.00 |
| Jun 30, 2023 | 17.01 Mn |
| Sep 30, 2022 | 291,000.00 |
| Jun 30, 2022 | 15.56 Mn |
| Jun 30, 2015 | 1.37 Mn |
API Access
MBody AI Revenue 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=revenue&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();