Brinker International (EAT) Buildings (2010 - 2026)
Brinker International's (EAT) quarterly Buildings came in at $1.8 billion in Q2 2026, up 3.43% year-over-year from $1.8 billion in Q2 2025, and up 0.76% quarter-over-quarter from $1.8 billion in Q1 2026.
Brinker International (EAT) Buildings (2010 - 2026) Analysis & Trends
Brinker International (EAT) has reported Buildings for 17 consecutive years, with $1.8 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Buildings rose 3.43% year-over-year to $1.8 billion in Q2 2026; TTM through Jun 2026 was $1.8 billion, a 3.43% increase from a year earlier, with the FY2026 full-year figure at $1.8 billion, up 3.43% from the prior year.
- Buildings was $1.8 billion for Q2 2026 at Brinker International, up from $1.8 billion in the prior quarter.
- Over five years, Buildings peaked at $1.8 billion in Q2 2026 and troughed at $1.6 billion in Q2 2022.
- A 5-year average of $1.7 billion and a median of $1.7 billion in 2024 frame the typical range for Buildings.
- Across the five-year window, Buildings slipped 2.46% in 2022 and advanced 5.09% in 2025, its largest moves.
- Over 5 years, Buildings stood at $1.6 billion in 2022, then climbed by 2.62% to $1.7 billion in 2023, then advanced by 2.55% to $1.7 billion in 2024, then rose by 4.61% to $1.8 billion in 2025, then climbed by 1.58% to $1.8 billion in 2026.
- The last three Buildings figures came in at $1.8 billion (Q2 2026), $1.8 billion (Q1 2026), and $1.8 billion (Q4 2025), per Business Quant data.
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 | Brinker International | 8.90 Bn | 8.79 Bn | 1.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 1.82 Bn |
| Mar 25, 2026 | 1.80 Bn |
| Dec 24, 2025 | 1.79 Bn |
| Sep 24, 2025 | 1.77 Bn |
| Jun 25, 2025 | 1.76 Bn |
| Mar 26, 2025 | 1.72 Bn |
| Dec 25, 2024 | 1.71 Bn |
| Sep 25, 2024 | 1.69 Bn |
| Jun 26, 2024 | 1.67 Bn |
| Mar 27, 2024 | 1.68 Bn |
| Dec 27, 2023 | 1.67 Bn |
| Sep 27, 2023 | 1.65 Bn |
| Jun 28, 2023 | 1.64 Bn |
| Mar 29, 2023 | 1.64 Bn |
| Dec 28, 2022 | 1.62 Bn |
| Sep 28, 2022 | 1.61 Bn |
| Jun 29, 2022 | 1.60 Bn |
| Mar 30, 2022 | 1.62 Bn |
| Dec 29, 2021 | 1.66 Bn |
| Sep 29, 2021 | 1.62 Bn |
Brinker International Buildings 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=buildings&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();