MBody AI (MBAI) Tax Provisions (2017 - 2023)
MBody AI (MBAI) reported Tax Provisions of -$44,000 for the year ended Dec 31, 2025, compared with $290,000 a year earlier.
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Analysis
MBody AI (MBAI) Tax Provisions (2017 - 2023) Analysis & Trends
Dating back to the year ended Dec 31, 2016, MBody AI's Tax Provisions record includes 7 years.
- The figure for the year ended Dec 31, 2025 ranks as the lowest annual Tax Provisions in data going back to the year ended Dec 31, 2016.
- According to Business Quant data, Tax Provisions came in at $290,000 in the year ended Dec 31, 2024, $1.34 million in the year ended Dec 31, 2022 (+15.4%) and $1.16 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 102.00 Mn |
| 10 | MBody AI | 3.55 Mn | 3.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 625,000.00 |
| Jun 30, 2022 | 596,000.00 |
| Jun 30, 2018 | -2,000.00 |
| Mar 31, 2018 | 1,000.00 |
| Jun 30, 2017 | 3,000.00 |
| Mar 31, 2017 | 3,000.00 |
API Access
MBody AI Tax Provisions 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=tax-provisions&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();