Brinker International (EAT) Tax Provisions (2009 - 2026)
Brinker International (EAT) reported Tax Provisions of $13.7 million for fiscal Q1 2027 (quarter ended Sep 23, 2026), up 69.1% from $8.1 million a year earlier but down 50.0% from the prior quarter.
Brinker International (EAT) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 23, 2026, Brinker International's Tax Provisions came in at $99.5 million, up 22.5% year-over-year; for FY2026 (ended Jun 24, 2026), it was $93.9 million, up 22.1% from FY2025.
- Tax Provisions has a five-year compound annual growth rate of 47.2% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $76.9 million in FY2025 (+701.0%), $9.6 million in FY2024, -$11.8 million in FY2023 and -$2.4 million in FY2022.
- Five-year quarterly Tax Provisions spans a low of -$9.4 million in fiscal Q4 2023 and a high of $29.6 million in fiscal Q2 2026.
- Year over year, Tax Provisions has now increased in each of the last five quarters, with growth averaging 162.5% over the last seven quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q2 2025 (growth of 527.0%); the low point was fiscal Q3 2022 (a decline of 53.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $27.4 million (Q4 2026), $28.8 million (Q3 2026) and $29.6 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 374.40 Mn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | -320.00 Mn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 117.25 Mn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | -133.00 Mn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 34.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | -133.00 Mn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 19.48 Mn |
| 10 | Brinker International | 8.91 Bn | 8.70 Bn | 1.10 Bn | 13.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 23, 2026 | 13.70 Mn |
| Jun 24, 2026 | 27.40 Mn |
| Mar 25, 2026 | 28.80 Mn |
| Dec 24, 2025 | 29.60 Mn |
| Sep 24, 2025 | 8.10 Mn |
| Jun 25, 2025 | 25.20 Mn |
| Mar 26, 2025 | 24.70 Mn |
| Dec 25, 2024 | 23.20 Mn |
| Sep 25, 2024 | 3.80 Mn |
| Jun 26, 2024 | 700,000.00 |
| Mar 27, 2024 | 5.20 Mn |
| Dec 27, 2023 | 3.70 Mn |
| Jun 28, 2023 | -9.40 Mn |
| Mar 29, 2023 | -100,000.00 |
| Dec 28, 2022 | -800,000.00 |
| Sep 28, 2022 | -1.50 Mn |
| Jun 29, 2022 | -6.20 Mn |
| Mar 30, 2022 | 2.10 Mn |
| Dec 29, 2021 | 1.50 Mn |
| Sep 29, 2021 | 200,000.00 |
Brinker International Tax Provisions 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=tax-provisions&ticker=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();