Alpha Tau Medical (DRTS) Return on Capital Employed [ROCE] (2022 - 2026)
Alpha Tau Medical (DRTS) recorded Return on Capital Employed [ROCE] of -45.07% in Q2 2026, down 2.33 percentage points from -42.74% a year earlier and down 5.51 percentage points from the prior quarter.
Powered by 
Analysis
Alpha Tau Medical (DRTS) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Alpha Tau Medical reported Return on Capital Employed [ROCE] of -49.51%, down 8.60 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of -17.58 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -40.90% in FY2024 (-7.45 pp), -33.45% in FY2023 (+8.37 pp), -41.82% in FY2022 (-9.90 pp) and -31.92% in FY2021.
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in three of the last eight quarters, with an average year-over-year change of -2.56 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 21.58 percentage points in Q2 2024, against a drop of 58.05 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -39.56% (Q1 2026), -44.67% (Q4 2025) and -32.55% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.76% |
| 10 | Alpha Tau Medical | 1.18 Bn | 1.07 Bn | - | -45.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -45.07% |
| Mar 31, 2026 | -39.56% |
| Dec 31, 2025 | -44.67% |
| Sep 30, 2025 | -32.55% |
| Jun 30, 2025 | -42.74% |
| Mar 31, 2025 | -47.64% |
| Dec 31, 2024 | -45.17% |
| Sep 30, 2024 | -40.96% |
| Jun 30, 2024 | -39.17% |
| Mar 31, 2024 | -36.66% |
| Dec 31, 2023 | -35.76% |
| Sep 30, 2023 | -29.79% |
| Jun 30, 2023 | -60.75% |
| Mar 31, 2023 | -28.62% |
| Dec 31, 2022 | -27.84% |
| Sep 30, 2022 | 0.43% |
| Jun 30, 2022 | -2.70% |
| Mar 31, 2022 | -10.42% |
API Access
Alpha Tau Medical Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=DRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();