Brinker International (EAT) Price to Book (2010 - 2026)
Brinker International's (EAT) quarterly Price to Book came in at 28.67 in Q2 2026, up 35.28% year-over-year from 21.2 in Q2 2025, and up 84.47% quarter-over-quarter from 15.54 in Q1 2026.
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Analysis
Brinker International (EAT) Price to Book (2010 - 2026) Analysis & Trends
Brinker International (EAT) has reported Price to Book for 17 consecutive years, with 28.67 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book rose 35.28% year-over-year to 28.67 in Q2 2026; TTM through Jun 2026 was 28.67, a 35.28% increase from a year earlier, with the FY2026 full-year figure at 16.16, down 23.78% from the prior year.
- Price to Book was 28.67 for Q2 2026 at Brinker International, up from 15.54 in the prior quarter.
- Over five years, Price to Book peaked at 83.23 in Q2 2024 and troughed at 11.19 in Q2 2023.
- A 5-year average of 13.71 and a median of 11.12 in 2024 frame the typical range for Price to Book.
- Across the five-year window, Price to Book plunged 205.6% in 2023 and soared 843.85% in 2024, its largest moves.
- Over 5 years, Price to Book stood at 5.28 in 2022, then jumped by 249.24% to 7.88 in 2023, then soared by 209.2% to 24.36 in 2024, then slipped by 28.94% to 17.31 in 2025, then soared by 65.62% to 28.67 in 2026.
- The last three Price to Book figures came in at 28.67 (Q2 2026), 15.54 (Q1 2026), and 17.31 (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 | 28.67 |
| Mar 25, 2026 | 15.54 |
| Dec 24, 2025 | 17.31 |
| Sep 24, 2025 | 17.68 |
| Jun 25, 2025 | 21.20 |
| Mar 26, 2025 | 26.42 |
| Dec 25, 2024 | 24.36 |
| Sep 25, 2024 | 13.51 |
| Jun 26, 2024 | 83.23 |
| Mar 27, 2024 | 8.73 |
| Dec 27, 2023 | 7.88 |
| Sep 27, 2023 | 5.21 |
| Jun 28, 2023 | -11.19 |
| Mar 29, 2023 | 6.33 |
| Dec 28, 2022 | -5.28 |
| Sep 28, 2022 | -3.95 |
| Jun 29, 2022 | -3.66 |
| Mar 30, 2022 | -5.26 |
| Dec 29, 2021 | -5.03 |
| Sep 29, 2021 | -7.12 |
API Access
Brinker International Price to Book 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-book&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();