MBody AI (MBAI) Price to Earnings (2019 - 2022)
MBody AI's (MBAI) Price to Earnings came in at 2.45 for the year ended Dec 31, 2025, down 100.0% from 5319.01 a year earlier.
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Analysis
MBody AI (MBAI) Price to Earnings (2019 - 2022) Analysis & Trends
Since the year ended Dec 31, 2019, MBody AI has reported Price to Earnings for 6 years.
- The figure for the year ended Dec 31, 2025 stands as the lowest annual Price to Earnings since the year ended Dec 31, 2022.
- Business Quant data shows MBAI's Price to Earnings at 5319.01 in the year ended Dec 31, 2024, 0.67 in the year ended Dec 31, 2022 (-82.2%) and 3.78 in the year ended Dec 31, 2021 (+275.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | MBody AI | 3.25 Mn | 3.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 4.79 |
| Dec 31, 2021 | 6.46 |
| Sep 30, 2021 | 2.64 |
| Jun 30, 2021 | 4.11 |
| Mar 31, 2021 | 6.35 |
| Dec 31, 2020 | 1.63 |
| Sep 30, 2020 | 0.43 |
| Jun 30, 2020 | 0.73 |
| Mar 31, 2020 | 1.33 |
| Dec 31, 2019 | 1.89 |
API Access
MBody AI Price to Earnings 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=price-to-earnings&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();