Alpha Tau Medical (DRTS) Change in Taxes (2021 - 2022)
Alpha Tau Medical (DRTS) reported Change in Taxes of -$47,000 for the year ended Dec 31, 2025, compared with $39,000 a year earlier.
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Analysis
Alpha Tau Medical (DRTS) Change in Taxes (2021 - 2022) Analysis & Trends
Dating back to the year ended Dec 31, 2020, Alpha Tau Medical's Change in Taxes record includes 6 years.
- Five-year annual Change in Taxes spans a low of -$1.89 million in the year ended Dec 31, 2021 and a high of $1.64 million in the year ended Dec 31, 2022.
- According to Business Quant data, Change in Taxes came in at $39,000 in the year ended Dec 31, 2024, -$80,000 in the year ended Dec 31, 2023, $1.64 million in the year ended Dec 31, 2022 and -$1.89 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -300.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 12.00 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Alpha Tau Medical | 1.31 Bn | 1.21 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 16,000.00 |
| Mar 31, 2022 | 1.81 Mn |
| Mar 31, 2021 | -30,000.00 |
API Access
Alpha Tau Medical Change in Taxes 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=change-in-taxes&ticker=DRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "DRTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();