Dolby Laboratories (DLB) Land & Improvements (2009 - 2014)
Dolby Laboratories' Land & Improvements came in at $12.75 million for fiscal Q1 2012 (quarter ended Dec 30, 2011), down 0.2% from the prior quarter.
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Analysis
Dolby Laboratories (DLB) Land & Improvements (2009 - 2014) Analysis & Trends
At the end of FY2011 (ended Sep 30, 2011), Dolby Laboratories' Land & Improvements was $12.78 million, down 0.4% from FY2010.
- Going back by fiscal year, Land & Improvements was $12.84 million in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | Dolby Laboratories | 6.09 Bn | 3.49 Bn | 264.68 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2014 | 46.21 Bn |
| Mar 28, 2014 | 46.17 Bn |
| Dec 27, 2013 | 46.16 Bn |
| Sep 27, 2013 | 46.05 Bn |
| Jun 28, 2013 | 48.04 Mn |
| Mar 29, 2013 | 47.99 Mn |
| Sep 28, 2012 | 48.23 Mn |
| Dec 30, 2011 | 12.75 Mn |
| Sep 30, 2011 | 12.78 Mn |
| Jul 1, 2011 | 12.89 Mn |
| Apr 1, 2011 | 12.89 Mn |
| Dec 31, 2010 | 12.76 Mn |
| Sep 24, 2010 | 12.84 Mn |
| Jun 25, 2010 | 13.74 Mn |
| Sep 25, 2009 | 14.00 Mn |
API Access
Dolby Laboratories 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=DLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "DLB", "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=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();