Brinker International (EAT) Operating Expenses (2009 - 2026)
Brinker International's Operating Expenses was $1.37 billion in fiscal Q4 2026 (quarter ended Jun 24, 2026), up 3.8% from $1.32 billion a year earlier and up 5.0% from the prior quarter.
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Analysis
Brinker International (EAT) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 24, 2026), Operating Expenses at Brinker International came in at $5.19 billion, up 6.5% from FY2025.
- Operating Expenses has now increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 10.6% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $4.87 billion in FY2025 (+16.4%), $4.19 billion in FY2024 (+4.9%), $3.99 billion in FY2023 (+9.4%) and $3.64 billion in FY2022 (+16.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Operating Expenses has increased for 21 straight quarters, with growth averaging 11.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 1.3% (fiscal Q1 2024) to 20.7% (fiscal Q3 2025).
- Per Business Quant data, EAT's Operating Expenses in the three fiscal quarters before Q4 2026 was $1.3 billion (Q3 2026), $1.28 billion (Q2 2026) and $1.23 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.54 Bn |
| 10 | Brinker International | 8.93 Bn | 8.71 Bn | 1.14 Bn | 1.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 1.37 Bn |
| Mar 25, 2026 | 1.30 Bn |
| Dec 24, 2025 | 1.28 Bn |
| Sep 24, 2025 | 1.23 Bn |
| Jun 25, 2025 | 1.32 Bn |
| Mar 26, 2025 | 1.27 Bn |
| Dec 25, 2024 | 1.20 Bn |
| Sep 25, 2024 | 1.08 Bn |
| Jun 26, 2024 | 1.14 Bn |
| Mar 27, 2024 | 1.05 Bn |
| Dec 27, 2023 | 1.01 Bn |
| Sep 27, 2023 | 988.30 Mn |
| Jun 28, 2023 | 1.02 Bn |
| Mar 29, 2023 | 1.02 Bn |
| Dec 28, 2022 | 978.30 Mn |
| Sep 28, 2022 | 975.30 Mn |
| Jun 29, 2022 | 976.80 Mn |
| Mar 30, 2022 | 931.00 Mn |
| Dec 29, 2021 | 886.00 Mn |
| Sep 29, 2021 | 850.80 Mn |
API Access
Brinker International Operating Expenses 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=operating-expenses&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();