MBody AI (MBAI) Total Current Liabilities (2013 - 2025)
MBody AI (MBAI) recorded Total Current Liabilities of $4.85 million in the quarter ended Dec 31, 2025, compared with $183,492 a year earlier.
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Analysis
MBody AI (MBAI) Total Current Liabilities (2013 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2013, MBody AI's Total Current Liabilities history includes 42 quarters.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 10.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Current Liabilities came in at $183,492 in the year ended Dec 31, 2024 (-86.2%), $1.33 million in the year ended Dec 31, 2023 (-61.0%), $3.41 million in the year ended Dec 31, 2022 (-80.1%) and $17.14 million in the year ended Dec 31, 2021 (+475.0%).
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Total Current Liabilities since the quarter ended Dec 31, 2021.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 475.0% in the quarter ended Dec 31, 2021, against a decline of 86.2% in the quarter ended Dec 31, 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | MBody AI | 3.79 Mn | 3.57 Mn | - | 4.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.85 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Dec 31, 2024 | 183,492.00 |
| Jun 30, 2024 | 913,000.00 |
| Dec 31, 2023 | 1.33 Mn |
| Sep 30, 2023 | 1.64 Mn |
| Jun 30, 2023 | 3.54 Mn |
| Mar 31, 2023 | 3.57 Mn |
| Dec 31, 2022 | 3.41 Mn |
| Sep 30, 2022 | 3.83 Mn |
| Jun 30, 2022 | 3.93 Mn |
| Mar 31, 2022 | 4.70 Mn |
| Dec 31, 2021 | 17.14 Mn |
| Sep 30, 2021 | 3.66 Mn |
| Jun 30, 2021 | 3.35 Mn |
| Mar 31, 2021 | 3.37 Mn |
| Dec 31, 2020 | 2.98 Mn |
| Sep 30, 2020 | 2.66 Mn |
| Jun 30, 2020 | 2.58 Mn |
| Mar 31, 2020 | 2.60 Mn |
API Access
MBody AI Total 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-current-liabilities&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();