Alpha Tau Medical (DRTS) Tax Provisions (2021 - 2026)
Alpha Tau Medical's Tax Provisions was $229,000 in the quarter ended Jun 30, 2026, up 252.3% from $65,000 a year earlier.
Alpha Tau Medical (DRTS) Tax Provisions (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alpha Tau Medical's Tax Provisions was $175,000 through Jun 30, 2026, up 5.4% year-over-year; for the year ended Dec 31, 2025, it came in at $121,000.
- Tax Provisions shows a five-year compound annual growth rate of -5.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, Tax Provisions was $6,000 in the year ended Dec 31, 2024 (-62.5%), $16,000 in the year ended Dec 31, 2023 (-20.0%), $20,000 in the year ended Dec 31, 2022 (+185.7%) and $7,000 in the year ended Dec 31, 2021 (-95.6%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Tax Provisions in data going back to the quarter ended Mar 31, 2021.
- The best year-over-year quarter for Tax Provisions over five years was the quarter ended Mar 31, 2023 (growth of 950.0%); the worst was the quarter ended Mar 31, 2024 (a decline of 95.2%).
- Per Business Quant data, DRTS's Tax Provisions in the three quarters before the quarter ended Jun 30, 2026 was -$11,000 (quarter ended Mar 31, 2026), -$35,000 (quarter ended Dec 31, 2025) and -$8,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Alpha Tau Medical | 1.34 Bn | 1.23 Bn | - | 229,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229,000.00 |
| Mar 31, 2026 | -11,000.00 |
| Dec 31, 2025 | -35,000.00 |
| Sep 30, 2025 | -8,000.00 |
| Jun 30, 2025 | 65,000.00 |
| Mar 31, 2025 | 99,000.00 |
| Dec 31, 2024 | 2,000.00 |
| Jun 30, 2024 | 3,000.00 |
| Mar 31, 2024 | 1,000.00 |
| Dec 31, 2023 | 8,000.00 |
| Sep 30, 2023 | -39,000.00 |
| Jun 30, 2023 | 26,000.00 |
| Mar 31, 2023 | 21,000.00 |
| Dec 31, 2022 | 3,000.00 |
| Sep 30, 2022 | 9,000.00 |
| Jun 30, 2022 | 6,000.00 |
| Mar 31, 2022 | 2,000.00 |
| Dec 31, 2021 | -14,000.00 |
| Sep 30, 2021 | -5,000.00 |
| Jun 30, 2021 | 15,000.00 |
Alpha Tau Medical 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=DRTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();