MBody AI (MBAI) EPS (Diluted) (2020 - 2024)
MBody AI (MBAI) posted EPS (Diluted) of $5.22 for the year ended Dec 31, 2025, compared with $0.00 a year earlier.
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Analysis
MBody AI (MBAI) EPS (Diluted) (2020 - 2024) Analysis & Trends
Since the year ended Dec 31, 2020, MBody AI has reported EPS (Diluted) for 6 years.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of -39.2% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 stands as the highest annual EPS (Diluted) since the year ended Dec 31, 2022.
- Business Quant data shows MBAI's EPS (Diluted) at $0.00 in the year ended Dec 31, 2024, -$21.03 in the year ended Dec 31, 2023, $23.58 in the year ended Dec 31, 2022 (-18.5%) and $28.95 in the year ended Dec 31, 2021 (-54.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 0.61 |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 0.42 |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 1.37 |
| 10 | MBody AI | 3.79 Mn | 3.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.30 |
| Dec 31, 2023 | -37.67 |
| Sep 30, 2023 | 3.20 |
| Jun 30, 2023 | -6.46 |
| Mar 31, 2023 | -5.48 |
| Dec 31, 2022 | 4.58 |
| Sep 30, 2022 | 8.00 |
| Jun 30, 2022 | -15.66 |
| Mar 31, 2022 | -9.82 |
| Dec 31, 2021 | 9.22 |
| Sep 30, 2021 | 19.31 |
| Jun 30, 2021 | 17.84 |
| Mar 31, 2021 | -16.24 |
| Dec 31, 2020 | 24.94 |
API Access
MBody AI EPS (Diluted) 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=eps-diluted&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();