Brinker International (EAT) Accumulated Expenses (2010 - 2026)
Brinker International's (EAT) quarterly Accumulated Expenses came in at $146.2 million in Q2 2026, down 6.4% year-over-year from $156.2 million in Q2 2025, and up 6.4% quarter-over-quarter from $137.4 million in Q1 2026.
Brinker International (EAT) Accumulated Expenses (2010 - 2026) Analysis & Trends
Brinker International (EAT) has reported Accumulated Expenses for 17 consecutive years, with $146.2 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses fell 6.4% year-over-year to $146.2 million in Q2 2026; TTM through Jun 2026 was $146.2 million, a 6.4% decrease from a year earlier, with the FY2026 full-year figure at $146.2 million, down 6.4% from the prior year.
- Accumulated Expenses was $146.2 million for Q2 2026 at Brinker International, up from $137.4 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $156.2 million in Q2 2025 and troughed at $84.2 million in Q3 2023.
- A 5-year average of $116.5 million and a median of $109.6 million in 2022 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses decreased 20.57% in 2023 and jumped 32.8% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $91.3 million in 2022, then rose by 9.64% to $100.1 million in 2023, then rose by 25.87% to $126.0 million in 2024, then gained by 0.16% to $126.2 million in 2025, then climbed by 15.85% to $146.2 million in 2026.
- The last three Accumulated Expenses figures came in at $146.2 million (Q2 2026), $137.4 million (Q1 2026), and $126.2 million (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 24, 2026 | 146.20 Mn |
| Mar 25, 2026 | 137.40 Mn |
| Dec 24, 2025 | 126.20 Mn |
| Sep 24, 2025 | 107.30 Mn |
| Jun 25, 2025 | 156.20 Mn |
| Mar 26, 2025 | 148.20 Mn |
| Dec 25, 2024 | 126.00 Mn |
| Sep 25, 2024 | 97.70 Mn |
| Jun 26, 2024 | 130.80 Mn |
| Mar 27, 2024 | 111.60 Mn |
| Dec 27, 2023 | 100.10 Mn |
| Sep 27, 2023 | 84.20 Mn |
| Jun 28, 2023 | 106.10 Mn |
| Mar 29, 2023 | 103.00 Mn |
| Dec 28, 2022 | 91.30 Mn |
| Sep 28, 2022 | 106.00 Mn |
| Jun 29, 2022 | 111.00 Mn |
| Mar 30, 2022 | 108.20 Mn |
| Dec 29, 2021 | 73.50 Mn |
| Sep 29, 2021 | 97.60 Mn |
Brinker International Accumulated Expenses 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=accumulated-expenses&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();