Restaurant Brands International (QSR) Capital Expenditures (2014 - 2026)
Restaurant Brands International (QSR) reported Capital Expenditures of $51 million for Q2 2026, up 34.2% from $38 million a year earlier but down 12.1% from the prior quarter.
Restaurant Brands International (QSR) Capital Expenditures (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Restaurant Brands International's Capital Expenditures came in at $272 million, up 16.2% year-over-year; for FY2025, it came in at $265 million, up 31.8% from FY2024.
- Capital Expenditures has increased for three consecutive years, with a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $201 million in FY2024 (+67.5%), $120 million in FY2023 (+20.0%), $100 million in FY2022 (-5.7%) and $106 million in FY2021 (-9.4%).
- Five-year quarterly Capital Expenditures spans a low of $10 million in Q1 2022 and a high of $102 million in Q4 2025.
- Year over year, Capital Expenditures gained in six of the last eight quarters, with growth averaging 48.3%.
- The high point for year-over-year Capital Expenditures in five years was Q1 2025 (growth of 146.2%); the low point was Q2 2022 (a decline of 41.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $58 million (Q1 2026), $102 million (Q4 2025) and $61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 905.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 291.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 100.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 217.27 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 51.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 180.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 51.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 127.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 98.68 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.00 Mn |
| Mar 31, 2026 | 58.00 Mn |
| Dec 31, 2025 | 102.00 Mn |
| Sep 30, 2025 | 61.00 Mn |
| Jun 30, 2025 | 38.00 Mn |
| Mar 31, 2025 | 64.00 Mn |
| Dec 31, 2024 | 77.00 Mn |
| Sep 30, 2024 | 55.00 Mn |
| Jun 30, 2024 | 43.00 Mn |
| Mar 31, 2024 | 26.00 Mn |
| Dec 31, 2023 | 47.00 Mn |
| Sep 30, 2023 | 25.00 Mn |
| Jun 30, 2023 | 30.00 Mn |
| Mar 31, 2023 | 18.00 Mn |
| Dec 31, 2022 | 48.00 Mn |
| Sep 30, 2022 | 24.00 Mn |
| Jun 30, 2022 | 18.00 Mn |
| Mar 31, 2022 | 10.00 Mn |
| Dec 31, 2021 | 36.00 Mn |
| Sep 30, 2021 | 24.00 Mn |
Restaurant Brands International Capital Expenditures 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=capital-expenditures&ticker=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "QSR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();