Metalink (MTLK) Operating Expenses (2009 - 2013)
Metalink (MTLK) reported Operating Expenses of $39,000 for FY2025, unchanged from $39,000 in FY2024.
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 | SK hynix | 25,315.76 Bn | 25,299.34 Bn | 43.99 Bn | 3.63 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,307.80 Bn | 10,042.23 Bn | - | - |
| 3 | Nvidia | 4,179.08 Bn | 3,953.24 Bn | 72.14 Bn | 8.41 Bn |
| 4 | Broadcom | 1,586.53 Bn | 1,512.57 Bn | 20.46 Bn | 4.50 Bn |
| 5 | Advanced Micro Devices | 875.82 Bn | 824.04 Bn | 7.21 Bn | 4.38 Bn |
| 6 | Micron Technology | 828.06 Bn | 733.70 Bn | 47.05 Bn | 2.77 Bn |
| 7 | Asml Holding | 596.24 Bn | 551.71 Bn | - | - |
| 8 | Intel | 312.07 Bn | 158.13 Bn | 7.10 Bn | 4.57 Bn |
| 9 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Metalink | 276,240.80 | 147,240.80 | - | - |
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_KEY
import 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();