Synopsys (SNPS) Land & Improvements (2010 - 2013)
Synopsys (SNPS) recorded Land & Improvements of $20.41 million in fiscal Q4 2013 (quarter ended Oct 31, 2013), unchanged from $20.41 million a year earlier.
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Analysis
Synopsys (SNPS) Land & Improvements (2010 - 2013) Analysis & Trends
Starting with fiscal Q4 2010, Synopsys' Land & Improvements history includes 4 quarters.
- Annual Land & Improvements has a three-year compound annual growth rate of 0.0% (FY2010 to FY2013).
- Across earlier fiscal years, Land & Improvements came in at $20.41 million in FY2012 (unchanged), $20.41 million in FY2011 (unchanged) and $20.41 million in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | - |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | - |
| 10 | Synopsys | 83.34 Bn | 79.73 Bn | 1.80 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2013 | 20.41 Mn |
| Oct 31, 2012 | 20.41 Mn |
| Oct 31, 2011 | 20.41 Mn |
| Oct 31, 2010 | 20.41 Mn |
API Access
Synopsys Land & Improvements 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=land-and-improvements&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "SNPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();