Brinker International (EAT) Return on Assets [ROA] (2010 - 2026)
Brinker International's Return on Assets [ROA] was 17.43% in fiscal Q4 2026 (quarter ended Jun 24, 2026), up 2.84 percentage points from 14.59% a year earlier and up 0.67 percentage points from the prior quarter.
Brinker International (EAT) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 24, 2026), Return on Assets [ROA] at Brinker International came in at 17.73%, up 3.20 percentage points from FY2025.
- Return on Assets [ROA] has now increased for three consecutive fiscal years, with a five-year change of +12.05 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Assets [ROA] was 14.53% in FY2025 (+8.42 pp), 6.11% in FY2024 (+1.99 pp), 4.13% in FY2023 (-0.81 pp) and 4.94% in FY2022 (-0.74 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Assets [ROA] in data going back to fiscal Q1 2011.
- Compared with a year earlier, Return on Assets [ROA] has increased for 12 straight quarters, with an average year-over-year change of +5.41 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q1 2026 (a gain of 9.20 percentage points); the worst was fiscal Q2 2023 (a drop of 3.27 percentage points).
- Per Business Quant data, EAT's Return on Assets [ROA] in the three fiscal quarters before Q4 2026 was 16.77% (Q3 2026), 16.63% (Q2 2026) and 16.48% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 6.74% |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 26.25% |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 16.07% |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 6.82% |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 9.06% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 6.82% |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 11.65% |
| 10 | Brinker International | 8.93 Bn | 8.71 Bn | 1.14 Bn | 17.43% |
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 17.43% |
| Mar 25, 2026 | 16.77% |
| Dec 24, 2025 | 16.63% |
| Sep 24, 2025 | 16.48% |
| Jun 25, 2025 | 14.59% |
| Mar 26, 2025 | 12.99% |
| Dec 25, 2024 | 10.33% |
| Sep 25, 2024 | 7.28% |
| Jun 26, 2024 | 6.10% |
| Mar 27, 2024 | 6.08% |
| Dec 27, 2023 | 6.19% |
| Sep 27, 2023 | 5.64% |
| Jun 28, 2023 | 4.13% |
| Mar 29, 2023 | 3.55% |
| Dec 28, 2022 | 2.97% |
| Sep 28, 2022 | 2.98% |
| Jun 29, 2022 | 4.76% |
| Mar 30, 2022 | 6.20% |
| Dec 29, 2021 | 6.24% |
| Sep 29, 2021 | 5.81% |
Brinker International Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();