Alpha Tau Medical (DRTS) EBITDA (2021 - 2022)
Alpha Tau Medical (DRTS) recorded EBITDA of $43.52 million in the year ended Dec 31, 2025, up 17.2% from $37.14 million a year earlier.
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Analysis
Alpha Tau Medical (DRTS) EBITDA (2021 - 2022) Analysis & Trends
Starting with the year ended Dec 31, 2019, Alpha Tau Medical's EBITDA history includes 7 years.
- Annual EBITDA has increased for six straight years, with a five-year compound annual growth rate of 36.1% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual EBITDA in data going back to the year ended Dec 31, 2019.
- Per Business Quant data, DRTS's EBITDA was $37.14 million in the year ended Dec 31, 2024 (+1.1%), $36.75 million in the year ended Dec 31, 2023 (+11.0%), $33.12 million in the year ended Dec 31, 2022 (+127.3%) and $14.57 million in the year ended Dec 31, 2021 (+56.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Alpha Tau Medical | 1.09 Bn | 986.70 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 8.26 Mn |
| Mar 31, 2022 | 9.01 Mn |
| Mar 31, 2021 | 2.90 Mn |
API Access
Alpha Tau Medical EBITDA 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=ebitda&ticker=DRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();