MBody AI (MBAI) Total Liabilities (2013 - 2025)
MBody AI's Total Liabilities was $4.89 million in the quarter ended Dec 31, 2025, down 97.3% from $183.49 million a year earlier.
Analysis
MBody AI (MBAI) Total Liabilities (2013 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2013 onward, MBody AI has reported Total Liabilities for 42 quarters.
- Total Liabilities shows a five-year compound annual growth rate of 8.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Liabilities was $183.49 million in the year ended Dec 31, 2024, $1.33 million in the year ended Dec 31, 2023 (-67.8%), $4.13 million in the year ended Dec 31, 2022 (-93.9%) and $67.54 million in the year ended Dec 31, 2021.
- Quarterly Total Liabilities has moved between $913,000 (the quarter ended Jun 30, 2024) and $183.49 million (the quarter ended Dec 31, 2024) over five years.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Jun 30, 2025 (growth of 138.1%); the worst was the quarter ended Jun 30, 2024 (a decline of 98.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | MBody AI | 3.79 Mn | 3.57 Mn | - | 4.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.89 Mn |
| Jun 30, 2025 | 2.17 Mn |
| Dec 31, 2024 | 183.49 Mn |
| Jun 30, 2024 | 913,000.00 |
| Dec 31, 2023 | 1.33 Mn |
| Sep 30, 2023 | 1.64 Mn |
| Jun 30, 2023 | 83.99 Mn |
| Mar 31, 2023 | 4.29 Mn |
| Dec 31, 2022 | 4.13 Mn |
| Sep 30, 2022 | 4.62 Mn |
| Jun 30, 2022 | 4.70 Mn |
| Mar 31, 2022 | 5.63 Mn |
| Dec 31, 2021 | 67.54 Mn |
| Sep 30, 2021 | 4.63 Mn |
| Jun 30, 2021 | 4.36 Mn |
| Mar 31, 2021 | 4.42 Mn |
| Dec 31, 2020 | 3.26 Mn |
| Sep 30, 2020 | 2.99 Mn |
| Jun 30, 2020 | 2.87 Mn |
| Mar 31, 2020 | 2.94 Mn |
API Access
MBody AI Total Liabilities 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=total-liabilities&ticker=MBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();