Brinker International (EAT) Current Leases (2013 - 2019)
Brinker International (EAT) posted Current Leases of $9.7 million for fiscal Q4 2019 (quarter ended Jun 26, 2019), up 36.9% from $7.09 million a year earlier.
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Analysis
Brinker International (EAT) Current Leases (2013 - 2019) Analysis & Trends
Since fiscal Q4 2013, Brinker International has reported Current Leases for 7 quarters.
- Annual Current Leases shows a five-year compound annual growth rate of 27.5% (FY2014 to FY2019).
- In prior fiscal years, Brinker International's Current Leases was $7.09 million in FY2018 (-26.5%), $9.65 million in FY2017 (+170.8%), $3.56 million in FY2016 (+3.6%) and $3.44 million in FY2015 (+19.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (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 |
|---|---|
| Jun 26, 2019 | 9.70 Mn |
| Jun 27, 2018 | 7.09 Mn |
| Jun 28, 2017 | 9.65 Mn |
| Jun 29, 2016 | 3.56 Mn |
| Jun 24, 2015 | 3.44 Mn |
| Jun 25, 2014 | 2.88 Mn |
| Jun 26, 2013 | -2.60 Mn |
API Access
Brinker International Current Leases 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=current-leases&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-leases", "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=current-leases&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();