MBody AI (MBAI) Other Operating Expenses (2022 - 2023)
MBody AI (MBAI) recorded Other Operating Expenses of $2.05 million in the year ended Dec 31, 2025, down 75.7% from $8.41 million a year earlier.
Powered by 
Analysis
MBody AI (MBAI) Other Operating Expenses (2022 - 2023) Analysis & Trends
Starting with the year ended Dec 31, 2021, MBody AI's Other Operating Expenses history includes 5 years.
- Annual Other Operating Expenses has a four-year compound annual growth rate of 375.6% (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the lowest annual Other Operating Expenses since the year ended Dec 31, 2022.
- Per Business Quant data, MBAI's Other Operating Expenses was $8.41 million in the year ended Dec 31, 2024 (+211.2%), $2.7 million in the year ended Dec 31, 2023, -$457,000 in the year ended Dec 31, 2022 and $4,000 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | MBody AI | 3.55 Mn | 3.33 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -80,000.00 |
| Jun 30, 2022 | -189,000.00 |
API Access
MBody AI Other Operating 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=other-operating-expenses&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();