Metalink (MTLK) Operating Expenses (2009 - 2013)
Metalink (MTLK) reported Operating Expenses of $39,000 for FY2025, unchanged from $39,000 in FY2024.
Powered by 
Analysis
Metalink (MTLK) Operating Expenses (2009 - 2013) Analysis & Trends
Dating back to FY2009, Metalink's Operating Expenses record includes 17 years.
- Operating Expenses has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Five-year annual Operating Expenses spans a low of $38,000 in FY2023 and a high of $43,000 in FY2021.
- According to Business Quant data, Operating Expenses came in at $39,000 in FY2024 (+2.6%), $38,000 in FY2023 (-7.3%), $41,000 in FY2022 (-4.7%) and $43,000 in FY2021 (-10.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,475.76 Bn | 5,249.92 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,370.28 Bn | 1,995.99 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.25 Bn | 1,621.29 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,202.48 Bn | 1,141.24 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 991.55 Bn | 948.30 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 707.01 Bn | 662.84 Bn | 5.90 Bn | - |
| 7 | Intel | 584.63 Bn | 469.37 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Applied Materials | 406.33 Bn | 371.77 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Lam Research | 405.24 Bn | 382.04 Bn | 3.48 Bn | 965.25 Mn |
| 10 | Metalink | 2.64 Mn | 2.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 88,000.00 |
| Mar 31, 2013 | 94,000.00 |
| Dec 31, 2012 | 102,000.00 |
| Sep 30, 2012 | 79,000.00 |
| Jun 30, 2012 | 79,000.00 |
| Mar 31, 2012 | 163,000.00 |
| Dec 31, 2011 | 148,000.00 |
| Sep 30, 2011 | 176,000.00 |
| Jun 30, 2011 | 238,000.00 |
| Mar 31, 2011 | 76,000.00 |
| Dec 31, 2010 | 22,000.00 |
| Sep 30, 2010 | 270,000.00 |
| Mar 31, 2010 | 434,000.00 |
| Dec 31, 2009 | 23,000.00 |
API Access
Metalink Operating 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=operating-expenses&ticker=MTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();