Metalink (MTLK) Return on Capital Employed [ROCE] (2011 - 2013)
Metalink (MTLK) recorded Return on Capital Employed [ROCE] of -1.19% in FY2025, up 0.92 percentage points from -2.12% in FY2024.
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Analysis
Metalink (MTLK) Return on Capital Employed [ROCE] (2011 - 2013) Analysis & Trends
Starting with FY2010, Metalink's Return on Capital Employed [ROCE] history includes 16 years.
- Annual Return on Capital Employed [ROCE] has increased for three straight years, though with a five-year change of -1.19 percentage points (FY2020 to FY2025).
- The FY2025 figure is the highest annual Return on Capital Employed [ROCE] since FY2021.
- Per Business Quant data, MTLK's Return on Capital Employed [ROCE] was -2.12% in FY2024 (+0.03 pp), -2.14% in FY2023 (+0.23 pp), -2.37% in FY2022 (-2.36 pp) and -0.01% in FY2021 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 52.74% |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 8.44% |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 80.04% |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 26.30% |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 10.71% |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 72.24% |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | - |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 0.99% |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 28.98% |
| 10 | Metalink | 276,240.80 | 147,240.80 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 2.85% |
| Dec 31, 2012 | 11.79% |
| Sep 30, 2012 | 13.46% |
| Jun 30, 2012 | 16.41% |
| Dec 31, 2011 | 12.77% |
| Sep 30, 2011 | 5.50% |
| Jun 30, 2011 | -4.98% |
API Access
Metalink 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=MTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MTLK", "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=MTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();