Alpha Tau Medical (DRTS) Prepaid Assets (2020 - 2026)
Alpha Tau Medical (DRTS) posted Prepaid Assets of $2.06 million for the quarter ended Jun 30, 2026, down 18.5% from $2.53 million a year earlier but up 83.7% from the prior quarter.
Alpha Tau Medical (DRTS) Prepaid Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Alpha Tau Medical's Prepaid Assets came in at $1.4 million, up 1.5% from the prior year.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 10.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Alpha Tau Medical's Prepaid Assets was $1.37 million in the year ended Dec 31, 2024 (+68.4%), $816,000 in the year ended Dec 31, 2023 (-25.6%), $1.1 million in the year ended Dec 31, 2022 (+55.2%) and $707,000 in the year ended Dec 31, 2021 (-18.2%).
- Quarterly Prepaid Assets has run from a low of $527,000 in the quarter ended Mar 31, 2024 to a high of $4.2 million in the quarter ended Mar 31, 2022 over five years.
- On a year-over-year basis, Prepaid Assets increased in five of the last eight quarters, with growth averaging 49.7%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was the quarter ended Mar 31, 2025, with growth of 267.7%; the weakest was the quarter ended Mar 31, 2023, with a decline of 87.4%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $1.12 million (quarter ended Mar 31, 2026), $1.4 million (quarter ended Dec 31, 2025) and $1.22 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Alpha Tau Medical | 1.31 Bn | 1.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.06 Mn |
| Mar 31, 2026 | 1.12 Mn |
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 1.22 Mn |
| Jun 30, 2025 | 2.53 Mn |
| Mar 31, 2025 | 1.94 Mn |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 1.36 Mn |
| Jun 30, 2024 | 1.10 Mn |
| Mar 31, 2024 | 527,000.00 |
| Dec 31, 2023 | 816,000.00 |
| Sep 30, 2023 | 1.33 Mn |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 528,000.00 |
| Dec 31, 2022 | 1.10 Mn |
| Sep 30, 2022 | 2.87 Mn |
| Jun 30, 2022 | 3.20 Mn |
| Mar 31, 2022 | 4.20 Mn |
| Dec 31, 2021 | 707,000.00 |
| Dec 31, 2020 | 864,000.00 |
Alpha Tau Medical Prepaid Assets 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=prepaid-assets&ticker=DRTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();