MBody AI (MBAI) Non-Current Assets (2013 - 2025)
MBody AI (MBAI) recorded Non-Current Assets of $9.07 million in the quarter ended Dec 31, 2025, compared with $112,000 a year earlier.
Powered by 
Analysis
MBody AI (MBAI) Non-Current Assets (2013 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2013, MBody AI's Non-Current Assets history includes 42 quarters.
- Annual Non-Current Assets has a five-year compound annual growth rate of 49.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Non-Current Assets came in at $112,000 in the year ended Dec 31, 2024 (-30.4%), $161,000 in the year ended Dec 31, 2023 (-94.3%), $2.81 million in the year ended Dec 31, 2022 (-3.4%) and $2.91 million in the year ended Dec 31, 2021 (+138.2%).
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Non-Current Assets in data going back to the quarter ended Dec 31, 2013.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 151.0% in the quarter ended Jun 30, 2021, against a decline of 94.3% in the quarter ended Dec 31, 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | MBody AI | 3.79 Mn | 3.57 Mn | - | 9.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.07 Mn |
| Jun 30, 2025 | 4.35 Mn |
| Dec 31, 2024 | 112,000.00 |
| Jun 30, 2024 | 136,000.00 |
| Dec 31, 2023 | 161,000.00 |
| Sep 30, 2023 | 256,000.00 |
| Jun 30, 2023 | 468,000.00 |
| Mar 31, 2023 | 2.81 Mn |
| Dec 31, 2022 | 2.81 Mn |
| Sep 30, 2022 | 3.01 Mn |
| Jun 30, 2022 | 2.94 Mn |
| Mar 31, 2022 | 2.99 Mn |
| Dec 31, 2021 | 2.91 Mn |
| Sep 30, 2021 | 2.69 Mn |
| Jun 30, 2021 | 2.45 Mn |
| Mar 31, 2021 | 2.07 Mn |
| Dec 31, 2020 | 1.22 Mn |
| Sep 30, 2020 | 1.18 Mn |
| Jun 30, 2020 | 977,000.00 |
| Mar 31, 2020 | 1.02 Mn |
API Access
MBody AI Non-Current 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=non-current-assets&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();