Metalink (MTLK) Accumulated Expenses (2010)
Metalink's Accumulated Expenses came in at $275,000 for Q4 2010.
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Analysis
Metalink (MTLK) Accumulated Expenses (2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn |
| 10 | Metalink | 276,240.80 | 147,240.80 | - |
API Access
Metalink Accumulated Expenses 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=accumulated-expenses&ticker=MTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();