Axcelis Technologies (ACLS) Return on Capital Employed [ROCE] (2011 - 2026)
Axcelis Technologies (ACLS) recorded Return on Capital Employed [ROCE] of 7.57% in Q2 2026, down 6.24 percentage points from 13.82% a year earlier and down 0.85 percentage points from the prior quarter.
Axcelis Technologies (ACLS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Axcelis Technologies reported Return on Capital Employed [ROCE] of 10.31%, down 8.72 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, with a five-year change of -1.25 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 19.03% in FY2024 (-11.78 pp), 30.81% in FY2023 (-2.62 pp), 33.43% in FY2022 (+9.79 pp) and 23.63% in FY2021 (+12.07 pp).
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q1 2020.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for 13 consecutive quarters, with an average year-over-year change of -8.46 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 15.46 percentage points in Q2 2022, against a drop of 10.88 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.43% (Q1 2026), 10.29% (Q4 2025) and 12.09% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 8.44% |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 72.24% |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 10.71% |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 0.99% |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 28.98% |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 25.39% |
| 10 | Axcelis Technologies | 3.08 Bn | 1.46 Bn | 97.42 Mn | 7.75% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.75% |
| Jun 30, 2026 | 7.57% |
| Mar 31, 2026 | 8.43% |
| Dec 31, 2025 | 10.29% |
| Sep 30, 2025 | 12.09% |
| Jun 30, 2025 | 13.82% |
| Mar 31, 2025 | 16.03% |
| Dec 31, 2024 | 18.56% |
| Sep 30, 2024 | 22.18% |
| Jun 30, 2024 | 24.69% |
| Mar 31, 2024 | 26.63% |
| Dec 31, 2023 | 27.78% |
| Sep 30, 2023 | 26.97% |
| Jun 30, 2023 | 26.32% |
| Mar 31, 2023 | 27.58% |
| Dec 31, 2022 | 29.83% |
| Sep 30, 2022 | 31.15% |
| Jun 30, 2022 | 28.89% |
| Mar 31, 2022 | 25.14% |
| Dec 31, 2021 | 21.88% |
Axcelis Technologies 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=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ACLS", "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=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();