Brinker International (EAT) Selling, General & Administrative (2009 - 2026)
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Analysis
Brinker International (EAT) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 190.47 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 139.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 72.41 Mn |
| 10 | Brinker International | 8.90 Bn | 8.79 Bn | 1.14 Bn | 60.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 60.40 Mn |
| Mar 25, 2026 | 58.40 Mn |
| Dec 24, 2025 | 59.70 Mn |
| Sep 24, 2025 | 57.20 Mn |
| Jun 25, 2025 | 58.80 Mn |
| Mar 26, 2025 | 58.30 Mn |
| Dec 25, 2024 | 53.10 Mn |
| Sep 25, 2024 | 51.80 Mn |
| Jun 26, 2024 | 52.00 Mn |
| Mar 27, 2024 | 46.10 Mn |
| Dec 27, 2023 | 43.20 Mn |
| Sep 27, 2023 | 42.40 Mn |
| Jun 28, 2023 | 38.80 Mn |
| Mar 29, 2023 | 40.60 Mn |
| Dec 28, 2022 | 35.60 Mn |
| Sep 28, 2022 | 39.50 Mn |
| Jun 29, 2022 | 35.30 Mn |
| Mar 30, 2022 | 39.20 Mn |
| Dec 29, 2021 | 33.10 Mn |
| Sep 29, 2021 | 36.50 Mn |
API Access
Brinker International Selling, General & Administrative 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=selling-general-and-administrative&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();