MBody AI (MBAI) Assets (2013 - 2025)
MBody AI (MBAI) recorded Assets of $10.92 million in the quarter ended Dec 31, 2025, down 94.1% from $184.94 million a year earlier.
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Analysis
MBody AI (MBAI) Assets (2013 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2013, MBody AI's Assets history includes 42 quarters.
- Annual Assets has a five-year compound annual growth rate of -11.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Assets came in at $184.94 million in the year ended Dec 31, 2024 (+639.3%), $25.02 million in the year ended Dec 31, 2023 (-44.9%), $45.44 million in the year ended Dec 31, 2022 (-61.6%) and $118.23 million in the year ended Dec 31, 2021 (+502.0%).
- Quarterly Assets has ranged from $7.04 million in the quarter ended Jun 30, 2025 to $184.94 million in the quarter ended Dec 31, 2024 over the past five years.
- On a year-over-year basis, Assets rose in 1 of the last four quarters, with growth averaging 100.0%.
- Peak year-over-year performance for Assets in the last five years was growth of 639.3% in the quarter ended Dec 31, 2024, against a decline of 94.1% in the quarter ended Dec 31, 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.87 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 50.73 Bn |
| 10 | MBody AI | 3.79 Mn | 3.57 Mn | - | 10.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.92 Mn |
| Jun 30, 2025 | 7.04 Mn |
| Dec 31, 2024 | 184.94 Mn |
| Jun 30, 2024 | 18.09 Mn |
| Dec 31, 2023 | 25.02 Mn |
| Sep 30, 2023 | 29.03 Mn |
| Jun 30, 2023 | 114.18 Mn |
| Mar 31, 2023 | 41.31 Mn |
| Dec 31, 2022 | 45.44 Mn |
| Sep 30, 2022 | 49.55 Mn |
| Jun 30, 2022 | 54.13 Mn |
| Mar 31, 2022 | 59.59 Mn |
| Dec 31, 2021 | 118.23 Mn |
| Sep 30, 2021 | 60.58 Mn |
| Jun 30, 2021 | 32.61 Mn |
| Mar 31, 2021 | 36.52 Mn |
| Dec 31, 2020 | 19.64 Mn |
| Sep 30, 2020 | 23.19 Mn |
| Jun 30, 2020 | 17.88 Mn |
| Mar 31, 2020 | 10.60 Mn |
API Access
MBody AI Assets 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=assets&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();