Brinker International (EAT) Income Taxes Paid (2019 - 2026)
Brinker International (EAT) posted Income Taxes Paid of $5.4 million for fiscal Q1 2027 (quarter ended Sep 23, 2026), down 14.3% from $6.3 million a year earlier and down 76.6% from the prior quarter.
Brinker International (EAT) Income Taxes Paid (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 23, 2026, Income Taxes Paid at Brinker International was $65.1 million, down 5.5% year-over-year; for FY2026 (ended Jun 24, 2026), it came in at $66 million, up 2.6% from FY2025.
- Annual Income Taxes Paid has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 46.7% (FY2021 to FY2026).
- In prior fiscal years, Brinker International's Income Taxes Paid was $64.3 million in FY2025 (+146.4%), $26.1 million in FY2024 (+110.5%), $12.4 million in FY2023 and -$4.7 million in FY2022.
- The fiscal Q1 2027 figure stands as the lowest quarterly Income Taxes Paid since fiscal Q1 2025.
- On a year-over-year basis, Income Taxes Paid increased in six of the last eight quarters, with growth averaging 96.1%.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was fiscal Q1 2026, with growth of 270.6%; the weakest was fiscal Q1 2025, with a decline of 46.9%.
- According to Business Quant data, Income Taxes Paid for the three prior fiscal quarters was $23.1 million (Q4 2026), $15.4 million (Q3 2026) and $21.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | - |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 93.10 Mn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 19.97 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 68.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 68.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 159.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 16.10 Mn |
| 10 | Brinker International | 8.70 Bn | 8.49 Bn | 1.10 Bn | 5.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 23, 2026 | 5.40 Mn |
| Jun 24, 2026 | 23.10 Mn |
| Mar 25, 2026 | 15.40 Mn |
| Dec 24, 2025 | 21.20 Mn |
| Sep 24, 2025 | 6.30 Mn |
| Jun 25, 2025 | 20.90 Mn |
| Mar 26, 2025 | 21.30 Mn |
| Dec 25, 2024 | 20.40 Mn |
| Sep 25, 2024 | 1.70 Mn |
| Jun 26, 2024 | 6.90 Mn |
| Mar 27, 2024 | 8.50 Mn |
| Dec 27, 2023 | 7.50 Mn |
| Sep 27, 2023 | 3.20 Mn |
| Jun 28, 2023 | 4.70 Mn |
| Mar 29, 2023 | 3.30 Mn |
| Dec 28, 2022 | 3.30 Mn |
| Sep 28, 2022 | 1.10 Mn |
| Jun 26, 2019 | 1.00 Mn |
Brinker International Income Taxes Paid 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=income-taxes-paid&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();