MBody AI (MBAI) Non Operating Interest Expenses (2014 - 2023)
MBody AI (MBAI) reported Non Operating Interest Expenses of -$12,000 for the year ended Dec 31, 2025.
Powered by 
Analysis
MBody AI (MBAI) Non Operating Interest Expenses (2014 - 2023) Analysis & Trends
Dating back to the year ended Dec 31, 2012, MBody AI's Non Operating Interest Expenses record includes 12 years.
- The figure for the year ended Dec 31, 2025 ranks as the highest annual Non Operating Interest Expenses since the year ended Dec 31, 2020.
- According to Business Quant data, Non Operating Interest Expenses came in at -$2.53 million in the year ended Dec 31, 2022 and -$2.05 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | MBody AI | 3.55 Mn | 3.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -1.38 Mn |
| Jun 30, 2022 | -591,000.00 |
| Mar 31, 2021 | 9,000.00 |
| Dec 31, 2020 | 34,000.00 |
| Mar 31, 2020 | -14,000.00 |
| Dec 31, 2019 | 85,000.00 |
| Dec 31, 2018 | 110,000.00 |
| Dec 31, 2017 | -10,000.00 |
| Dec 31, 2016 | 68,000.00 |
| Dec 31, 2015 | -3,000.00 |
| Sep 30, 2015 | 208,000.00 |
| Jun 30, 2015 | 1.56 Mn |
| Mar 31, 2015 | 258,000.00 |
| Dec 31, 2014 | -1,000.00 |
API Access
MBody AI Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();