MBody AI (MBAI) Times Interest Earned (2014 - 2023)
MBody AI's (MBAI) Times Interest Earned was -197.75 for the year ended Dec 31, 2025.
Analysis
MBody AI (MBAI) Times Interest Earned (2014 - 2023) Analysis & Trends
Dating back to the year ended Dec 31, 2012, MBody AI's Times Interest Earned record includes 12 years.
- The figure for the year ended Dec 31, 2025 ranks as the highest annual Times Interest Earned in data going back to the year ended Dec 31, 2012.
- According to Business Quant data, Times Interest Earned came in at 7.92 in the year ended Dec 31, 2022 (-6.2%) and 8.45 in the year ended Dec 31, 2021 (-99.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.20 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.82 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 10.53 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 11.77 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.27 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 5.02 |
| 10 | MBody AI | 3.55 Mn | 3.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -2.90 |
| Jun 30, 2022 | -15.73 |
| Mar 31, 2021 | 395.22 |
| Dec 31, 2020 | 164.06 |
| Mar 31, 2020 | 244.21 |
| Dec 31, 2019 | 45.26 |
| Dec 31, 2018 | 31.54 |
| Dec 31, 2017 | 205.80 |
| Dec 31, 2016 | 35.79 |
| Dec 31, 2015 | 1,017.67 |
| Sep 30, 2015 | 14.49 |
| Jun 30, 2015 | 1.65 |
| Mar 31, 2015 | 14.84 |
| Dec 31, 2014 | 1,670.00 |
API Access
MBody AI Times Interest Earned 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=times-interest-earned&ticker=MBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();