Brinker International (EAT) EBT (2009 - 2026)
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Analysis
Brinker International (EAT) EBT (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.79 Bn | 191.61 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 121.02 Bn | 108.65 Bn | - | 1.42 Bn |
| 3 | Yum Brands | 45.33 Bn | 42.21 Bn | 1.47 Bn | 533.00 Mn |
| 4 | Chipotle Mexican Grill | 44.75 Bn | 41.25 Bn | - | 457.13 Mn |
| 5 | Restaurant Brands International | 27.39 Bn | 24.77 Bn | 1.40 Bn | 571.00 Mn |
| 6 | Darden Restaurants | 25.86 Bn | 24.96 Bn | 1.68 Bn | 269.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 571.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 11.53 Bn | 537.00 Mn | 354.00 Mn |
| 9 | Texas Roadhouse | 12.58 Bn | 11.94 Bn | - | 143.99 Mn |
| 10 | Brinker International | 8.90 Bn | 8.68 Bn | 1.10 Bn | 127.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 23, 2026 | 127.00 Mn |
| Jun 24, 2026 | 158.50 Mn |
| Mar 25, 2026 | 156.70 Mn |
| Dec 24, 2025 | 158.10 Mn |
| Sep 24, 2025 | 107.60 Mn |
| Jun 25, 2025 | 132.20 Mn |
| Mar 26, 2025 | 143.80 Mn |
| Dec 25, 2024 | 141.70 Mn |
| Sep 25, 2024 | 42.30 Mn |
| Jun 26, 2024 | 58.00 Mn |
| Mar 27, 2024 | 53.90 Mn |
| Dec 27, 2023 | 45.80 Mn |
| Sep 27, 2023 | 7.20 Mn |
| Jun 28, 2023 | 44.80 Mn |
| Mar 29, 2023 | 50.60 Mn |
| Dec 28, 2022 | 27.10 Mn |
| Sep 28, 2022 | -31.70 Mn |
| Jun 29, 2022 | 34.00 Mn |
| Mar 30, 2022 | 38.70 Mn |
| Dec 29, 2021 | 29.10 Mn |
API Access
Brinker International EBT 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=ebt&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();