Alpha Tau Medical (DRTS) Capital Expenditures (2021 - 2022)
Alpha Tau Medical's Capital Expenditures was $6.08 million in FY2025, up 171.4% from $2.24 million in FY2024.
Analysis
Alpha Tau Medical (DRTS) Capital Expenditures (2021 - 2022) Analysis & Trends
From FY2019 onward, Alpha Tau Medical has reported Capital Expenditures for 7 years.
- Capital Expenditures shows a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Annual Capital Expenditures has moved between $904,000 (FY2022) and $6.4 million (FY2023) over five years.
- Per Business Quant data, Capital Expenditures in earlier years was $2.24 million in FY2024 (-65.0%), $6.4 million in FY2023 (+608.1%), $904,000 in FY2022 (-69.1%) and $2.93 million in FY2021 (-22.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 437.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 513.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 255.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 237.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 180.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 63.60 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 141.00 Mn |
| 10 | Alpha Tau Medical | 1.18 Bn | 1.07 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 973,000.00 |
| Mar 31, 2022 | -298,000.00 |
| Mar 31, 2021 | -609,000.00 |
API Access
Alpha Tau Medical Capital Expenditures 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=capital-expenditures&ticker=DRTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();