Quicklogic (QUIK) Return on Capital Employed [ROCE] (2010 - 2026)
Quicklogic (QUIK) posted Return on Capital Employed [ROCE] of -30.29% for Q3 2026, down 0.21 percentage points from -30.08% a year earlier but up 11.56 percentage points from the prior quarter.
Quicklogic (QUIK) Return on Capital Employed [ROCE] (2010 - 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 +18.33 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 (+27.01 pp) and -62.33% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has run from a low of -67.71% in Q1 2022 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 -21.57 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 49.31 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 -41.86% (Q2 2026), -37.72% (Q1 2026) and -49.30% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.74% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 8.88% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 80.04% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.30% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 72.24% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 10.71% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 0.99% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Quicklogic | 175.80 Mn | 113.21 Mn | 1.92 Mn | -30.29% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | -30.29% |
| 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 | -24.50% |
| Jul 2, 2023 | -40.02% |
| Apr 2, 2023 | -29.70% |
| Oct 2, 2022 | -34.78% |
| Jul 3, 2022 | -46.52% |
| Apr 3, 2022 | -67.71% |
| Oct 3, 2021 | -77.39% |
| Jul 4, 2021 | -86.89% |
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();