Restaurant Brands International Limited Partnership (RSTRF) Change in Property, Plant and Equipment (2014 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) posted Change in Property, Plant and Equipment of -$51 million for Q3 2026, compared with -$47 million a year earlier.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Change in Property, Plant and Equipment (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Property, Plant and Equipment at Restaurant Brands International Limited Partnership was -$217 million; for FY2025, it came in at -$227 million.
- In prior years, Restaurant Brands International Limited Partnership's Change in Property, Plant and Equipment was -$167 million in FY2024, -$83 million in FY2023, -$88 million in FY2022 and -$90 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has run from a low of -$90 million in Q4 2025 to a high of -$6 million in Q1 2022 over five years.
- According to Business Quant data, Change in Property, Plant and Equipment for the three prior quarters was -$39 million (Q2 2026), -$37 million (Q1 2026) and -$90 million (Q4 2025).
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 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | -9.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -51.00 Mn |
| Jun 30, 2026 | -39.00 Mn |
| Mar 31, 2026 | -37.00 Mn |
| Dec 31, 2025 | -90.00 Mn |
| Sep 30, 2025 | -47.00 Mn |
| Jun 30, 2025 | -36.00 Mn |
| Mar 31, 2025 | -54.00 Mn |
| Dec 31, 2024 | -60.00 Mn |
| Sep 30, 2024 | -45.00 Mn |
| Jun 30, 2024 | -38.00 Mn |
| Mar 31, 2024 | -24.00 Mn |
| Dec 31, 2023 | -33.00 Mn |
| Sep 30, 2023 | -15.00 Mn |
| Jun 30, 2023 | -21.00 Mn |
| Mar 31, 2023 | -14.00 Mn |
| Dec 31, 2022 | -47.00 Mn |
| Sep 30, 2022 | -23.00 Mn |
| Jun 30, 2022 | -12.00 Mn |
| Mar 31, 2022 | -6.00 Mn |
| Dec 31, 2021 | -34.00 Mn |
API Access
Restaurant Brands International Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "ticker": "RSTRF", "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=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();