Starbucks (SBUX) Buildings (2009 - 2014)
Starbucks (SBUX) posted Buildings of $277.9 million for fiscal Q2 2014 (quarter ended Mar 30, 2014), up 12.9% from $246.2 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Starbucks (SBUX) Buildings (2009 - 2014) Analysis & Trends
At the end of FY2013 (ended Sep 29, 2013), Starbucks' Buildings came in at $259.6 million, up 15.3% from FY2012.
- Annual Buildings shows a four-year compound annual growth rate of 2.9% (FY2009 to FY2013).
- In prior fiscal years, Starbucks' Buildings was $225.2 million in FY2012 (+3.1%), $218.5 million in FY2011 (-17.8%), $265.7 million in FY2010 (+14.8%) and $231.5 million in FY2009.
- Quarterly Buildings has run from a low of $218.5 million in fiscal Q4 2011 to a high of $279.3 million in fiscal Q1 2014 over five years.
- On a year-over-year basis, Buildings has increased in each of the last seven quarters, with growth averaging 8.5% over the last eight quarters.
- The strongest year-over-year quarter for Buildings in the past five years was fiscal Q1 2014, with growth of 23.6%; the weakest was fiscal Q1 2012, with a decline of 18.3%.
- According to Business Quant data, Buildings for the three prior fiscal quarters was $279.3 million (Q1 2014), $259.6 million (Q4 2013) and $258.6 million (Q3 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.79 Bn | 166.61 Bn | 6.42 Bn |
| 2 | Starbucks | 109.56 Bn | 97.18 Bn | - |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.19 Bn | 35.17 Bn | - |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.34 Bn | 23.44 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.20 Bn | 10.54 Bn | - |
| 10 | Luckin Coffee | 10.70 Bn | 9.79 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 30, 2014 | 277.90 Mn |
| Dec 29, 2013 | 279.30 Mn |
| Sep 29, 2013 | 259.60 Mn |
| Jun 30, 2013 | 258.60 Mn |
| Mar 31, 2013 | 246.20 Mn |
| Dec 30, 2012 | 225.90 Mn |
| Sep 30, 2012 | 225.20 Mn |
| Jul 1, 2012 | 222.60 Mn |
| Apr 1, 2012 | 221.60 Mn |
| Jan 1, 2012 | 218.90 Mn |
| Oct 2, 2011 | 218.50 Mn |
| Jul 3, 2011 | 270.10 Mn |
| Apr 3, 2011 | 269.80 Mn |
| Jan 2, 2011 | 267.80 Mn |
| Oct 3, 2010 | 265.70 Mn |
| Jun 27, 2010 | 265.30 Mn |
| Sep 27, 2009 | 231.50 Mn |
API Access
Starbucks Buildings 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=buildings&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "SBUX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();