Q (QCLS) Return on Capital Employed [ROCE] (2014 - 2026)
Q (QCLS) posted Return on Capital Employed [ROCE] of -25.61% for Q1 2026, up 39.39 percentage points from -65.00% a year earlier and up 3.64 percentage points from the prior quarter.
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Analysis
Q (QCLS) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Q's Return on Capital Employed [ROCE] came in at -38.23%, up 40.36 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +238.18 percentage points (FY2020 to FY2025).
- In prior years, Q's Return on Capital Employed [ROCE] was -78.58% in FY2024 (+56.11 pp), -134.69% in FY2023 (-51.66 pp), -83.02% in FY2022 (+163.11 pp) and -246.13% in FY2021 (+30.27 pp).
- The Q1 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q4 2014.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last seven quarters, with an average year-over-year change of +31.20 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2023, with a gain of 77.41 percentage points; the weakest was Q1 2024, with a drop of 77.48 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -29.25% (Q4 2025), -40.28% (Q3 2025) and -67.33% (Q2 2025).
Peer Set
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 | Q | 2.82 Mn | 2.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -25.61% |
| Dec 31, 2025 | -29.25% |
| Sep 30, 2025 | -40.28% |
| Jun 30, 2025 | -67.33% |
| Mar 31, 2025 | -65.00% |
| Dec 31, 2024 | -63.43% |
| Sep 30, 2024 | -70.72% |
| Jun 30, 2024 | -101.71% |
| Mar 31, 2024 | -141.89% |
| Dec 31, 2023 | -115.26% |
| Sep 30, 2023 | -89.80% |
| Jun 30, 2023 | -65.12% |
| Mar 31, 2023 | -64.41% |
| Dec 31, 2022 | -94.83% |
| Sep 30, 2022 | -80.98% |
| Jun 30, 2022 | -85.53% |
| Mar 31, 2022 | -141.82% |
| Dec 31, 2021 | -113.55% |
| Sep 30, 2021 | -102.77% |
| Jun 30, 2021 | -90.57% |
API Access
Q 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=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "QCLS", "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=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();