Restaurant Brands International Limited Partnership (RSTRF) Accumulated Expenses (2013 - 2026)
Restaurant Brands International Limited Partnership's Accumulated Expenses was $1.17 billion in Q2 2026, up 2.6% from $1.14 billion a year earlier and up 6.0% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Restaurant Brands International Limited Partnership came in at $1.27 billion, up 11.4% from FY2024.
- Accumulated Expenses has now increased for seven consecutive years, with a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $1.14 billion in FY2024 (+13.5%), $1.01 billion in FY2023 (+0.4%), $1 billion in FY2022 (+5.7%) and $947 million in FY2021 (+13.4%).
- Quarterly Accumulated Expenses has moved between $783 million (Q2 2022) and $1.28 billion (Q3 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for nine straight quarters, with growth averaging 8.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2023 (growth of 24.5%); the worst was Q2 2022 (a decline of 3.6%).
- Per Business Quant data, RSTRF's Accumulated Expenses in the three quarters before Q2 2026 was $1.1 billion (Q1 2026), $1.27 billion (Q4 2025) and $1.28 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.27 Bn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 1.16 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 893.00 Mn |
| Dec 31, 2023 | 1.01 Bn |
| Sep 30, 2023 | 1.13 Bn |
| Jun 30, 2023 | 975.00 Mn |
| Mar 31, 2023 | 901.00 Mn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 959.00 Mn |
| Jun 30, 2022 | 783.00 Mn |
| Mar 31, 2022 | 917.00 Mn |
| Dec 31, 2021 | 947.00 Mn |
| Sep 30, 2021 | 910.00 Mn |
API Access
Restaurant Brands International Limited Partnership Accumulated Expenses 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=accumulated-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();