Brinker International (EAT) Change in Property, Plant and Equipment (2009 - 2026)
Brinker International (EAT) posted Change in Property, Plant and Equipment of -$63.4 million for fiscal Q1 2027 (quarter ended Sep 23, 2026), compared with -$58.4 million a year earlier.
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Analysis
Brinker International (EAT) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 23, 2026, Change in Property, Plant and Equipment at Brinker International was -$236.5 million; for FY2026 (ended Jun 24, 2026), it was -$231.5 million.
- In prior fiscal years, Brinker International's Change in Property, Plant and Equipment was -$264.3 million in FY2025, -$194.2 million in FY2024, -$179.4 million in FY2023 and -$129.8 million in FY2022.
- Quarterly Change in Property, Plant and Equipment has run from a low of -$79.6 million in fiscal Q3 2025 to a high of -$34.9 million in fiscal Q3 2022 over five years.
- According to Business Quant data, Change in Property, Plant and Equipment for the three prior fiscal quarters was -$58.3 million (Q4 2026), -$51.1 million (Q3 2026) and -$63.7 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | -768.00 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | -291.40 Mn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | -99.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | -243.00 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | -51.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | -171.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | -51.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | -127.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | -98.68 Mn |
| 10 | Brinker International | 8.70 Bn | 8.49 Bn | 1.10 Bn | -63.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 23, 2026 | -63.40 Mn |
| Jun 24, 2026 | -58.30 Mn |
| Mar 25, 2026 | -51.10 Mn |
| Dec 24, 2025 | -63.70 Mn |
| Sep 24, 2025 | -58.40 Mn |
| Jun 25, 2025 | -78.90 Mn |
| Mar 26, 2025 | -79.60 Mn |
| Dec 25, 2024 | -49.30 Mn |
| Sep 25, 2024 | -56.50 Mn |
| Jun 26, 2024 | -54.20 Mn |
| Mar 27, 2024 | -51.20 Mn |
| Dec 27, 2023 | -42.60 Mn |
| Sep 27, 2023 | -46.90 Mn |
| Jun 28, 2023 | -42.80 Mn |
| Mar 29, 2023 | -41.30 Mn |
| Dec 28, 2022 | -48.60 Mn |
| Sep 28, 2022 | -46.70 Mn |
| Jun 29, 2022 | -41.30 Mn |
| Mar 30, 2022 | -34.90 Mn |
| Dec 29, 2021 | -36.80 Mn |
API Access
Brinker International Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();