Brinker International (EAT) EV to EBITDA (2009 - 2026)
Brinker International's (EAT) quarterly EV to EBITDA came in at 42.27 in Q2 2026, down 23.1% year-over-year from 54.96 in Q2 2025, and up 12.6% quarter-over-quarter from 37.54 in Q1 2026.
Powered by 
Analysis
Brinker International (EAT) EV to EBITDA (2009 - 2026) Analysis & Trends
Brinker International (EAT) has reported EV to EBITDA for 18 consecutive years, with 42.27 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA fell 23.1% year-over-year to 42.27 in Q2 2026; TTM through Jun 2026 was 11.39, a 25.67% decrease from a year earlier, with the FY2026 full-year figure at 8.44, down 22.93% from the prior year.
- EV to EBITDA was 42.27 for Q2 2026 at Brinker International, up from 37.54 in the prior quarter.
- Over five years, EV to EBITDA peaked at 59.59 in Q3 2024 and troughed at 58.15 in Q3 2022.
- A 5-year average of 33.81 and a median of 38.22 in 2026 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA sank 165.07% in 2022 and surged 191.48% in 2023, its largest moves.
- Over 5 years, EV to EBITDA stood at 34.34 in 2022, then retreated by 9.13% to 31.21 in 2023, then rose by 24.82% to 38.95 in 2024, then fell by 0.12% to 38.91 in 2025, then rose by 8.64% to 42.27 in 2026.
- The last three EV to EBITDA figures came in at 42.27 (Q2 2026), 37.54 (Q1 2026), and 38.91 (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 | 42.27 |
| Mar 25, 2026 | 37.54 |
| Dec 24, 2025 | 38.91 |
| Sep 24, 2025 | 51.29 |
| Jun 25, 2025 | 54.96 |
| Mar 26, 2025 | 43.50 |
| Dec 25, 2024 | 38.95 |
| Sep 25, 2024 | 59.59 |
| Jun 26, 2024 | 43.97 |
| Mar 27, 2024 | 30.99 |
| Dec 27, 2023 | 31.21 |
| Sep 27, 2023 | 53.19 |
| Jun 28, 2023 | 26.97 |
| Mar 29, 2023 | 24.45 |
| Dec 28, 2022 | 34.34 |
| Sep 28, 2022 | -58.15 |
| Jun 29, 2022 | 21.66 |
| Mar 30, 2022 | 32.85 |
| Dec 29, 2021 | 40.96 |
| Sep 29, 2021 | 89.37 |
API Access
Brinker International EV to 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=ev-to-ebitda&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();