Brinker International (EAT) Interest Expenses (2009 - 2026)
Brinker International's Interest Expenses came in at $9.2 million for fiscal Q4 2026 (quarter ended Jun 24, 2026), down 15.6% from $10.9 million a year earlier and down 8.9% from the prior quarter.
Brinker International (EAT) Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 24, 2026), Brinker International's Interest Expenses was $40.5 million, down 23.7% from FY2025.
- Interest Expenses carries a five-year compound annual growth rate of -6.3% (FY2021 to FY2026).
- Going back by fiscal year, Interest Expenses was $53.1 million in FY2025 (-18.3%), $65 million in FY2024 (+18.4%), $54.9 million in FY2023 (+19.1%) and $46.1 million in FY2022 (-18.0%).
- The fiscal Q4 2026 figure represents the lowest quarterly Interest Expenses since fiscal Q1 2017.
- Year-over-year, Interest Expenses has declined for eight consecutive quarters, with an average decline of 20.9% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2024 (growth of 38.2%), and the weakest in fiscal Q4 2025 (a decline of 27.8%).
- Business Quant data shows EAT's Interest Expenses at $10.1 million (Q3 2026), $10.7 million (Q2 2026) and $10.5 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 134.60 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Brinker International | 8.93 Bn | 8.71 Bn | 1.14 Bn | 9.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 9.20 Mn |
| Mar 25, 2026 | 10.10 Mn |
| Dec 24, 2025 | 10.70 Mn |
| Sep 24, 2025 | 10.50 Mn |
| Jun 25, 2025 | 10.90 Mn |
| Mar 26, 2025 | 13.20 Mn |
| Dec 25, 2024 | 14.70 Mn |
| Sep 25, 2024 | 14.30 Mn |
| Jun 26, 2024 | 15.10 Mn |
| Mar 27, 2024 | 16.20 Mn |
| Dec 27, 2023 | 16.70 Mn |
| Sep 27, 2023 | 17.00 Mn |
| Jun 28, 2023 | 14.50 Mn |
| Mar 29, 2023 | 14.20 Mn |
| Dec 28, 2022 | 13.90 Mn |
| Sep 28, 2022 | 12.30 Mn |
| Jun 29, 2022 | 11.30 Mn |
| Mar 30, 2022 | 11.10 Mn |
| Dec 29, 2021 | 11.20 Mn |
| Sep 29, 2021 | 12.50 Mn |
Brinker International Interest 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=interest-expenses&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();