Brinker International (EAT) Land & Improvements (2010 - 2026)
Brinker International (EAT) posted Land & Improvements of $47.2 million for fiscal Q4 2026 (quarter ended Jun 24, 2026), up 5.1% from $44.9 million a year earlier and up 2.6% from the prior quarter.
Brinker International (EAT) Land & Improvements (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Brinker International has reported Land & Improvements for 14 quarters.
- In prior fiscal years, Brinker International's Land & Improvements was $44.9 million in FY2025.
- The fiscal Q4 2026 figure stands as the highest quarterly Land & Improvements since fiscal Q2 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 47.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 47.20 Mn |
| Mar 25, 2026 | 46.00 Mn |
| Jun 25, 2025 | 44.90 Mn |
| Dec 26, 2012 | 150.22 Mn |
| Sep 26, 2012 | 151.92 Mn |
| Jun 27, 2012 | 152.38 Mn |
| Mar 28, 2012 | 153.83 Mn |
| Dec 28, 2011 | 154.01 Mn |
| Sep 28, 2011 | 155.80 Mn |
| Jun 29, 2011 | 156.73 Mn |
| Mar 30, 2011 | 157.03 Mn |
| Dec 29, 2010 | 158.36 Mn |
| Sep 29, 2010 | 160.08 Mn |
| Jun 30, 2010 | 163.02 Mn |
Brinker International Land & Improvements 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=land-and-improvements&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();