Yum Brands (YUM) Other Accumulated Expenses (2009 - 2010)
Yum Brands' (YUM) quarterly Other Accumulated Expenses came in at $318.0 million in Q4 2010, up 26.69% on a YoY basis from $251.0 million in Q4 2009, and up 26.69% quarter-over-quarter from $251.0 million in Q4 2009.
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Yum Brands (YUM) Other Accumulated Expenses (2009 - 2010) Analysis & Trends
Yum Brands (YUM) has reported Other Accumulated Expenses for 2 consecutive years, with $318.0 million the latest figure, recorded in Q4 2010.
- For the quarter ending Q4 2010, Other Accumulated Expenses rose 26.69% year-over-year to $318.0 million; the trailing twelve-month figure through Dec 2010 stood at $318.0 million (up 26.69% YoY), and the FY2010 full-year result was $318.0 million, up 26.69% from the prior year.
- Other Accumulated Expenses grew to $318.0 million in Q4 2010 per YUM's latest filing, from $251.0 million in the prior quarter.
- Across five years, Other Accumulated Expenses topped out at $318.0 million in Q4 2010 and bottomed at $251.0 million in Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
API Access
Yum Brands 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=YUM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "YUM", "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=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();