Alpha Tau Medical (DRTS) Depreciation & Amortization (CF) (2021 - 2022)
Alpha Tau Medical's Depreciation & Amortization (CF) was $1.23 million in FY2025, up 11.8% from $1.1 million in FY2024.
Analysis
Alpha Tau Medical (DRTS) Depreciation & Amortization (CF) (2021 - 2022) Analysis & Trends
From FY2019 onward, Alpha Tau Medical has reported Depreciation & Amortization (CF) for 7 years.
- Depreciation & Amortization (CF) has now increased for six consecutive years, with a five-year compound annual growth rate of 70.3% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Depreciation & Amortization (CF) in data going back to FY2019.
- Per Business Quant data, Depreciation & Amortization (CF) in earlier years was $1.1 million in FY2024 (+2.6%), $1.07 million in FY2023 (+9.7%), $979,000 in FY2022 (+26.2%) and $776,000 in FY2021 (+802.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 307.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 415.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 120.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 361.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 44.90 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 259.00 Mn |
| 10 | Alpha Tau Medical | 1.18 Bn | 1.07 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 244,000.00 |
| Mar 31, 2022 | 231,000.00 |
| Mar 31, 2021 | 164,000.00 |
API Access
Alpha Tau Medical Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=DRTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();