Alpha Tau Medical (DRTS) Non-Current Assets (2020 - 2026)
Alpha Tau Medical's Non-Current Assets came in at $27.42 million for Q2 2026, up 8.9% from $25.18 million a year earlier and unchanged from the prior quarter.
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Analysis
Alpha Tau Medical (DRTS) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Alpha Tau Medical's Non-Current Assets was $27.35 million, up 24.5% from FY2024.
- Non-Current Assets has increased in each of the last five years, with a five-year compound annual growth rate of 37.7% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $21.98 million in FY2024 (+1.6%), $21.63 million in FY2023 (+58.2%), $13.67 million in FY2022 (+42.8%) and $9.57 million in FY2021 (+73.0%).
- The five-year range for quarterly Non-Current Assets is $7.84 million (Q1 2022) to $27.59 million (Q3 2025).
- Year-over-year, Non-Current Assets has increased for 15 consecutive quarters, with growth averaging 19.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 1.6% in Q4 2024 to 91.8% in Q1 2023.
- Business Quant data shows DRTS's Non-Current Assets at $27.43 million (Q1 2026), $27.35 million (Q4 2025) and $27.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 27.53 Bn |
| 10 | Alpha Tau Medical | 1.18 Bn | 1.07 Bn | - | 27.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.42 Mn |
| Mar 31, 2026 | 27.43 Mn |
| Dec 31, 2025 | 27.35 Mn |
| Sep 30, 2025 | 27.59 Mn |
| Jun 30, 2025 | 25.18 Mn |
| Mar 31, 2025 | 24.14 Mn |
| Dec 31, 2024 | 21.98 Mn |
| Sep 30, 2024 | 20.94 Mn |
| Jun 30, 2024 | 20.80 Mn |
| Mar 31, 2024 | 21.24 Mn |
| Dec 31, 2023 | 21.63 Mn |
| Sep 30, 2023 | 15.30 Mn |
| Jun 30, 2023 | 15.15 Mn |
| Mar 31, 2023 | 15.03 Mn |
| Dec 31, 2022 | 13.67 Mn |
| Sep 30, 2022 | 8.04 Mn |
| Jun 30, 2022 | 7.95 Mn |
| Mar 31, 2022 | 7.84 Mn |
| Dec 31, 2021 | 9.57 Mn |
| Dec 31, 2020 | 5.53 Mn |
API Access
Alpha Tau Medical Non-Current 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=non-current-assets&ticker=DRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();