Brinker International (EAT) Price to Earnings (2009 - 2026)
Brinker International's (EAT) quarterly Price to Earnings came in at 54.68 in Q2 2026, down 25.58% year-over-year from 73.47 in Q2 2025, and up 10.81% quarter-over-quarter from 49.34 in Q1 2026.
Powered by 
Analysis
Brinker International (EAT) Price to Earnings (2009 - 2026) Analysis & Trends
Brinker International (EAT) has reported Price to Earnings for 18 consecutive years, with 54.68 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 25.58% year-over-year to 54.68 in Q2 2026; TTM through Jun 2026 was 14.72, a 28.27% decrease from a year earlier, with the FY2026 full-year figure at 14.72, down 28.27% from the prior year.
- Price to Earnings was 54.68 for Q2 2026 at Brinker International, up from 49.34 in the prior quarter.
- Over five years, Price to Earnings peaked at 180.79 in Q3 2023 and troughed at 38.77 in Q3 2022.
- A 5-year average of 53.22 and a median of 50.86 in 2025 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings plunged 122.07% in 2022 and surged 566.32% in 2023, its largest moves.
- Over 5 years, Price to Earnings stood at 50.62 in 2022, then fell by 7.57% to 46.79 in 2023, then grew by 9.85% to 51.4 in 2024, then retreated by 0.58% to 51.1 in 2025, then advanced by 7.0% to 54.68 in 2026.
- The last three Price to Earnings figures came in at 54.68 (Q2 2026), 49.34 (Q1 2026), and 51.1 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Brinker International | 8.90 Bn | 8.79 Bn | 1.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 54.68 |
| Mar 25, 2026 | 49.34 |
| Dec 24, 2025 | 51.10 |
| Sep 24, 2025 | 61.12 |
| Jun 25, 2025 | 73.47 |
| Mar 26, 2025 | 57.46 |
| Dec 25, 2024 | 51.40 |
| Sep 25, 2024 | 87.72 |
| Jun 26, 2024 | 57.23 |
| Mar 27, 2024 | 44.80 |
| Dec 27, 2023 | 46.79 |
| Sep 27, 2023 | 180.79 |
| Jun 28, 2023 | 29.79 |
| Mar 29, 2023 | 31.23 |
| Dec 28, 2022 | 50.62 |
| Sep 28, 2022 | -38.77 |
| Jun 29, 2022 | 24.42 |
| Mar 30, 2022 | 44.69 |
| Dec 29, 2021 | 59.63 |
| Sep 29, 2021 | 175.68 |
API Access
Brinker International Price to Earnings 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=price-to-earnings&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();