MBody AI (MBAI) Total Non-Current Liabilities (2013 - 2025)
MBody AI's Total Non-Current Liabilities came in at $44,000 for the quarter ended Dec 31, 2025, up 175.0% from $16,000 a year earlier.
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Analysis
MBody AI (MBAI) Total Non-Current Liabilities (2013 - 2025) Analysis & Trends
Going back to the quarter ended Dec 31, 2013, MBody AI's Total Non-Current Liabilities data covers 37 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -30.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Non-Current Liabilities was $16,000 in the year ended Dec 31, 2024, $721,000 in the year ended Dec 31, 2022 (-22.2%) and $927,000 in the year ended Dec 31, 2021 (+232.3%).
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Total Non-Current Liabilities since the quarter ended Mar 31, 2023.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in the quarter ended Jun 30, 2021 (growth of 236.9%), and the weakest in the quarter ended Jun 30, 2022 (a decline of 22.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | MBody AI | 3.55 Mn | 3.33 Mn | - | 44,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 44,000.00 |
| Jun 30, 2025 | 16,000.00 |
| Dec 31, 2024 | 16,000.00 |
| Mar 31, 2023 | 724,000.00 |
| Dec 31, 2022 | 721,000.00 |
| Sep 30, 2022 | 788,000.00 |
| Jun 30, 2022 | 776,000.00 |
| Mar 31, 2022 | 934,000.00 |
| Dec 31, 2021 | 927,000.00 |
| Sep 30, 2021 | 970,000.00 |
| Jun 30, 2021 | 1.00 Mn |
| Mar 31, 2021 | 1.05 Mn |
| Dec 31, 2020 | 279,000.00 |
| Sep 30, 2020 | 330,000.00 |
| Jun 30, 2020 | 298,000.00 |
| Mar 31, 2020 | 344,000.00 |
| Dec 31, 2019 | 393,000.00 |
| Sep 30, 2019 | 458,000.00 |
| Jun 30, 2019 | 424,000.00 |
| Mar 31, 2019 | 206,000.00 |
API Access
MBody AI Total Non-Current 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-non-current-liabilities&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();