Brinker International (EAT) Operating Income (2009 - 2026)
Brinker International's Operating Income was $167 million in fiscal Q4 2026 (quarter ended Jun 24, 2026), up 17.0% from $142.7 million a year earlier and up 0.2% from the prior quarter.
Brinker International (EAT) Operating Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 24, 2026), Operating Income at Brinker International came in at $619.9 million, up 21.1% from FY2025.
- Operating Income has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 25.5% (FY2021 to FY2026).
- In earlier fiscal years, Operating Income was $512 million in FY2025 (+123.0%), $229.6 million in FY2024 (+59.0%), $144.4 million in FY2023 (-9.5%) and $159.5 million in FY2022 (-20.0%).
- Quarterly Operating Income has moved between -$19.8 million (fiscal Q1 2023) and $168.4 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Operating Income has increased for 11 straight quarters, with growth averaging 80.4% over the last eight quarters.
- The best year-over-year quarter for Operating Income over five years was fiscal Q2 2025 (growth of 150.0%); the worst was fiscal Q4 2022 (a decline of 55.6%).
- Per Business Quant data, EAT's Operating Income in the three fiscal quarters before Q4 2026 was $166.6 million (Q3 2026), $168.4 million (Q2 2026) and $117.9 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 980.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 655.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 525.60 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 319.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 142.79 Mn |
| 10 | Brinker International | 8.93 Bn | 8.71 Bn | 1.14 Bn | 167.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 167.00 Mn |
| Mar 25, 2026 | 166.60 Mn |
| Dec 24, 2025 | 168.40 Mn |
| Sep 24, 2025 | 117.90 Mn |
| Jun 25, 2025 | 142.70 Mn |
| Mar 26, 2025 | 156.90 Mn |
| Dec 25, 2024 | 156.00 Mn |
| Sep 25, 2024 | 56.40 Mn |
| Jun 26, 2024 | 73.10 Mn |
| Mar 27, 2024 | 69.90 Mn |
| Dec 27, 2023 | 62.40 Mn |
| Sep 27, 2023 | 24.20 Mn |
| Jun 28, 2023 | 59.30 Mn |
| Mar 29, 2023 | 64.20 Mn |
| Dec 28, 2022 | 40.70 Mn |
| Sep 28, 2022 | -19.80 Mn |
| Jun 29, 2022 | 44.70 Mn |
| Mar 30, 2022 | 49.40 Mn |
| Dec 29, 2021 | 39.80 Mn |
| Sep 29, 2021 | 25.60 Mn |
Brinker International Operating Income 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-income&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();