MBody AI (MBAI) Inventory (2021 - 2025)
MBody AI (MBAI) reported Inventory of $651,000 for the quarter ended Jun 30, 2025.
Powered by 
Analysis
MBody AI (MBAI) Inventory (2021 - 2025) Analysis & Trends
As of Dec 31, 2024, MBody AI posted Inventory of $75,934.
- Inventory has a three-year compound annual growth rate of -79.8% (years ended Dec 2021 to Dec 2024).
- By year, Inventory came in at $10.55 million in the year ended Dec 31, 2022 (+15.2%) and $9.16 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2025 ranks as the highest quarterly Inventory since the quarter ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | MBody AI | 3.79 Mn | 3.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 651,000.00 |
| Dec 31, 2024 | 75,934.00 |
| Dec 31, 2022 | 10.55 Mn |
| Dec 31, 2021 | 9.16 Mn |
API Access
MBody AI Inventory 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=inventory&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();