Metalink (MTLK) Gross Margin (2010 - 2012)
Metalink's Gross Margin came in at 57.11% for FY2015, up 24.76 percentage points from 32.35% in FY2014.
Analysis
Metalink (MTLK) Gross Margin (2010 - 2012) Analysis & Trends
Going back to FY2009, Metalink's Gross Margin data covers 6 years.
- Gross Margin carries a five-year change of -29.48 percentage points (FY2010 to FY2015).
- The FY2015 figure represents the highest annual Gross Margin since FY2012.
- Per Business Quant, earlier years put Gross Margin at 32.35% in FY2014, 63.85% in FY2012 (-1.17 pp) and 65.02% in FY2011 (-21.57 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,475.76 Bn | 5,249.92 Bn | 72.14 Bn | 74.98% |
| 2 | Taiwan Semiconductor Manufacturing | 2,370.28 Bn | 1,995.99 Bn | 27.22 Bn | 67.72% |
| 3 | Broadcom | 1,695.25 Bn | 1,621.29 Bn | 20.46 Bn | 69.13% |
| 4 | Micron Technology | 1,202.48 Bn | 1,141.24 Bn | 35.06 Bn | 84.56% |
| 5 | Advanced Micro Devices | 991.55 Bn | 948.30 Bn | 6.20 Bn | 53.77% |
| 6 | Asml Holding | 707.01 Bn | 662.84 Bn | 5.90 Bn | 52.15% |
| 7 | Intel | 584.63 Bn | 469.37 Bn | 6.51 Bn | 40.36% |
| 8 | Applied Materials | 406.33 Bn | 371.77 Bn | 4.59 Bn | 50.31% |
| 9 | Lam Research | 405.24 Bn | 382.04 Bn | 3.48 Bn | 51.75% |
| 10 | Metalink | 2.64 Mn | 2.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | -160.00% |
| Sep 30, 2012 | 64.79% |
| Jun 30, 2012 | 60.66% |
| Mar 31, 2012 | 67.45% |
| Dec 31, 2011 | 59.49% |
| Sep 30, 2011 | 62.50% |
| Jun 30, 2011 | 68.27% |
| Mar 31, 2011 | 94.95% |
| Dec 31, 2010 | 88.02% |
| Sep 30, 2010 | 87.60% |
| Mar 31, 2010 | 100.00% |
API Access
Metalink Gross Margin 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=gross-margin&ticker=MTLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=MTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();