Quicklogic (QUIK) Return on Capital Employed [ROCE] (2011 - 2026)
Quicklogic (QUIK) posted Return on Capital Employed [ROCE] of -41.86% for Q2 2026, down 20.68 percentage points from -21.18% a year earlier and down 4.14 percentage points from the prior quarter.
Quicklogic (QUIK) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Quicklogic's Return on Capital Employed [ROCE] came in at -44.01%, down 33.71 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of +27.81 percentage points (FY2021 to FY2025).
- In prior years, Quicklogic's Return on Capital Employed [ROCE] was -10.30% in FY2024 (-10.96 pp), 0.66% in FY2023 (+35.99 pp), -35.32% in FY2022 and -71.82% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has run from a low of -49.30% in Q4 2025 to a high of 9.29% in Q2 2024 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last eight quarters, with an average year-over-year change of -21.94 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 Q2 2024, with a gain of 28.06 percentage points; the weakest was Q4 2025, with a drop of 39.39 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -37.72% (Q1 2026), -49.30% (Q4 2025) and -30.08% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 28.98% |
| 10 | Quicklogic | 217.41 Mn | 156.68 Mn | 2.41 Mn | -41.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -41.86% |
| Mar 29, 2026 | -37.72% |
| Dec 28, 2025 | -49.30% |
| Sep 28, 2025 | -30.08% |
| Jun 29, 2025 | -21.18% |
| Mar 30, 2025 | -15.96% |
| Dec 29, 2024 | -9.91% |
| Sep 29, 2024 | -2.55% |
| Jun 30, 2024 | 9.29% |
| Mar 31, 2024 | 6.09% |
| Dec 31, 2023 | 0.56% |
| Oct 1, 2023 | 0.63% |
| Jul 2, 2023 | -18.76% |
| Apr 2, 2023 | -6.25% |
| Jan 1, 2023 | -6.13% |
| Oct 2, 2022 | -34.78% |
| Jul 3, 2022 | -46.52% |
| Apr 3, 2022 | -67.71% |
| Oct 3, 2021 | -85.34% |
| Jul 4, 2021 | -86.62% |
Quicklogic 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=QUIK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "QUIK", "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=QUIK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();