Starbucks (SBUX) Other Accumulated Expenses (2009 - 2013)
Starbucks (SBUX) posted Other Accumulated Expenses of $2.78 billion for fiscal Q4 2013 (quarter ended Sep 29, 2013).
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Analysis
Starbucks (SBUX) Other Accumulated Expenses (2009 - 2013) Analysis & Trends
Since fiscal Q3 2009, Starbucks has reported Other Accumulated Expenses for 12 quarters.
- Annual Other Accumulated Expenses shows a four-year compound annual growth rate of 108.4% (FY2009 to FY2013).
- In prior fiscal years, Starbucks' Other Accumulated Expenses was $192.4 million in FY2011 (-26.8%), $262.8 million in FY2010 (+78.2%) and $147.5 million in FY2009.
- The fiscal Q4 2013 figure stands as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q3 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2013 | 2.78 Bn |
| Apr 1, 2012 | 214.40 Mn |
| Jan 1, 2012 | 229.00 Mn |
| Oct 2, 2011 | 192.40 Mn |
| Jul 3, 2011 | 298.70 Mn |
| Apr 3, 2011 | 286.10 Mn |
| Oct 3, 2010 | 262.80 Mn |
| Jun 27, 2010 | 270.10 Mn |
| Mar 28, 2010 | 234.60 Mn |
| Dec 27, 2009 | 149.60 Mn |
| Sep 27, 2009 | 147.50 Mn |
| Jun 28, 2009 | 174.30 Mn |
API Access
Starbucks Other Accumulated 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=other-accumulated-expenses&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();