Brinker International (EAT) EBITDA (2009 - 2026)
Brinker International (EAT) posted EBITDA of $222.5 million for fiscal Q4 2026 (quarter ended Jun 24, 2026), up 10.9% from $200.6 million a year earlier and up 0.4% from the prior quarter.
Brinker International (EAT) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 24, 2026), Brinker International's EBITDA came in at $838.6 million, up 16.7% from FY2025.
- Annual EBITDA has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 19.1% (FY2021 to FY2026).
- In prior fiscal years, Brinker International's EBITDA was $718.6 million in FY2025 (+79.5%), $400.4 million in FY2024 (+28.0%), $312.9 million in FY2023 (-3.4%) and $323.9 million in FY2022 (-7.3%).
- Quarterly EBITDA has run from a low of $22.1 million in fiscal Q1 2023 to a high of $223 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last 15 quarters, with growth averaging 50.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q1 2024, with growth of 199.1%; the weakest was fiscal Q1 2023, with a decline of 65.9%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $221.6 million (Q3 2026), $223 million (Q2 2026) and $171.5 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Brinker International | 8.93 Bn | 8.71 Bn | 1.14 Bn | 222.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 222.50 Mn |
| Mar 25, 2026 | 221.60 Mn |
| Dec 24, 2025 | 223.00 Mn |
| Sep 24, 2025 | 171.50 Mn |
| Jun 25, 2025 | 200.60 Mn |
| Mar 26, 2025 | 211.60 Mn |
| Dec 25, 2024 | 203.70 Mn |
| Sep 25, 2024 | 102.70 Mn |
| Jun 26, 2024 | 118.10 Mn |
| Mar 27, 2024 | 112.50 Mn |
| Dec 27, 2023 | 103.70 Mn |
| Sep 27, 2023 | 66.10 Mn |
| Jun 28, 2023 | 101.60 Mn |
| Mar 29, 2023 | 106.70 Mn |
| Dec 28, 2022 | 82.50 Mn |
| Sep 28, 2022 | 22.10 Mn |
| Jun 29, 2022 | 86.00 Mn |
| Mar 30, 2022 | 91.60 Mn |
| Dec 29, 2021 | 81.40 Mn |
| Sep 29, 2021 | 64.90 Mn |
Brinker International EBITDA 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=ebitda&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();