MBody AI (MBAI) Cash & Equivalents (2013 - 2025)
MBody AI's Cash & Equivalents was $801,000 in the quarter ended Dec 31, 2025, down 99.2% from $94.33 million a year earlier.
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Analysis
MBody AI (MBAI) Cash & Equivalents (2013 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2013 onward, MBody AI has reported Cash & Equivalents for 42 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of -37.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Cash & Equivalents was $94.33 million in the year ended Dec 31, 2024 (+966.6%), $8.84 million in the year ended Dec 31, 2023 (-67.0%), $26.81 million in the year ended Dec 31, 2022 (unchanged) and $26.81 million in the year ended Dec 31, 2021 (+232.9%).
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Cash & Equivalents in data going back to the quarter ended Dec 31, 2013.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last four quarters, with growth averaging 210.5%.
- The best year-over-year quarter for Cash & Equivalents over five years was the quarter ended Dec 31, 2024 (growth of 966.6%); the worst was the quarter ended Dec 31, 2025 (a decline of 99.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | MBody AI | 3.25 Mn | 3.03 Mn | - | 801,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 801,000.00 |
| Jun 30, 2025 | 1.72 Mn |
| Dec 31, 2024 | 94.33 Mn |
| Jun 30, 2024 | 17.82 Mn |
| Dec 31, 2023 | 8.84 Mn |
| Sep 30, 2023 | 3.38 Mn |
| Jun 30, 2023 | 10.82 Mn |
| Mar 31, 2023 | 16.46 Mn |
| Dec 31, 2022 | 26.81 Mn |
| Sep 30, 2022 | 26.81 Mn |
| Jun 30, 2022 | 26.81 Mn |
| Mar 31, 2022 | 26.81 Mn |
| Dec 31, 2021 | 26.46 Mn |
| Sep 30, 2021 | 39.96 Mn |
| Jun 30, 2021 | 10.44 Mn |
| Mar 31, 2021 | 15.54 Mn |
| Dec 31, 2020 | 8.05 Mn |
| Sep 30, 2020 | 8.04 Mn |
| Jun 30, 2020 | 8.74 Mn |
| Mar 31, 2020 | 8.04 Mn |
API Access
MBody AI Cash & Equivalents 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=cash-and-equivalents&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();