MBody AI (MBAI) Debt Ratio (2013 - 2025)
MBody AI's (MBAI) Debt Ratio stood at 0.04 in the quarter ended Dec 31, 2025, compared with 0.00 a year earlier.
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Analysis
MBody AI (MBAI) Debt Ratio (2013 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2013, MBody AI's Debt Ratio history includes 11 quarters.
- Across earlier years, Debt Ratio came in at 0.00 in the year ended Dec 31, 2024, -0.69 in the year ended Dec 31, 2022 and 0.13 in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Debt Ratio since the quarter ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 0.28 |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 0.33 |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 0.04 |
| 10 | MBody AI | 2.10 Mn | 1.88 Mn | - | 0.06 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.06 |
| Jun 30, 2025 | 0.03 |
| Dec 31, 2024 | 0.49 |
| Jun 30, 2023 | 0.34 |
| Dec 31, 2022 | 0.59 |
| Dec 31, 2021 | 0.13 |
| Dec 31, 2018 | 0.28 |
| Sep 30, 2015 | 0.19 |
| Jun 30, 2015 | 0.33 |
| Mar 31, 2015 | 0.01 |
| Dec 31, 2014 | 0.08 |
| Dec 31, 2013 | 0.11 |
API Access
MBody AI Debt Ratio 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=debt-ratio&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();