Alpha Tau Medical (DRTS) Accumulated Expenses (2021 - 2025)
Alpha Tau Medical (DRTS) posted Accumulated Expenses of $3.78 million for Q4 2025, up 44.7% from $2.62 million a year earlier.
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Analysis
Alpha Tau Medical (DRTS) Accumulated Expenses (2021 - 2025) Analysis & Trends
Since Q4 2021, Alpha Tau Medical has reported Accumulated Expenses for 5 quarters.
- Annual Accumulated Expenses has increased for three consecutive years, though with a four-year compound annual growth rate of -9.2% (FY2021 to FY2025).
- In prior years, Alpha Tau Medical's Accumulated Expenses was $2.62 million in FY2024 (+16.9%), $2.24 million in FY2023 (+75.2%), $1.28 million in FY2022 (-77.1%) and $5.57 million in FY2021.
- The Q4 2025 figure stands as the highest quarterly Accumulated Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Alpha Tau Medical | 1.18 Bn | 1.07 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.78 Mn |
| Dec 31, 2024 | 2.62 Mn |
| Dec 31, 2023 | 2.24 Mn |
| Dec 31, 2022 | 1.28 Mn |
| Dec 31, 2021 | 5.57 Mn |
API Access
Alpha Tau Medical Accumulated Expenses 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=accumulated-expenses&ticker=DRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();