Brinker International (EAT) Accumulated Expenses (2010 - 2017)
Brinker International (EAT) posted Accumulated Expenses of $134.29 million for fiscal Q3 2017 (quarter ended Mar 29, 2017), up 10.7% from $121.34 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Brinker International (EAT) Accumulated Expenses (2010 - 2017) Analysis & Trends
At the end of FY2016 (ended Jun 29, 2016), Brinker International's Accumulated Expenses came in at $121.32 million, up 9.1% from FY2015.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -15.8% (FY2011 to FY2016).
- In prior fiscal years, Brinker International's Accumulated Expenses was $111.2 million in FY2015 (-66.1%), $328.02 million in FY2014 (+21.7%), $269.47 million in FY2013 (-1.6%) and $273.88 million in FY2012 (-4.7%).
- The fiscal Q3 2017 figure stands as the highest quarterly Accumulated Expenses since fiscal Q3 2015.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with an average decline of 28.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2015, with growth of 28.4%; the weakest was fiscal Q2 2016, with a decline of 69.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $131.37 million (Q2 2017), $133.55 million (Q1 2017) and $121.32 million (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 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 | 11.21 Bn | 10.55 Bn | - |
| 10 | Brinker International | 8.93 Bn | 8.71 Bn | 1.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2017 | 134.29 Mn |
| Dec 28, 2016 | 131.37 Mn |
| Sep 28, 2016 | 133.55 Mn |
| Jun 29, 2016 | 121.32 Mn |
| Mar 23, 2016 | 121.34 Mn |
| Dec 23, 2015 | 122.00 Mn |
| Sep 23, 2015 | 127.22 Mn |
| Jun 24, 2015 | 111.20 Mn |
| Mar 25, 2015 | 312.34 Mn |
| Dec 24, 2014 | 397.55 Mn |
| Sep 24, 2014 | 321.70 Mn |
| Jun 25, 2014 | 328.02 Mn |
| Mar 26, 2014 | 283.83 Mn |
| Dec 25, 2013 | 319.98 Mn |
| Sep 25, 2013 | 250.47 Mn |
| Jun 26, 2013 | 269.47 Mn |
| Mar 27, 2013 | 273.64 Mn |
| Dec 26, 2012 | 304.46 Mn |
| Sep 26, 2012 | 247.77 Mn |
| Jun 27, 2012 | 273.88 Mn |
API Access
Brinker International 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=accumulated-expenses&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();