Restaurant Brands International (QSR) Other Accumulated Expenses (2013 - 2026)
Restaurant Brands International (QSR) reported Other Accumulated Expenses of $1.17 billion for 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 (QSR) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International posted Other Accumulated Expenses of $1.27 billion, up 11.4% from FY2024.
- Other Accumulated Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $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%).
- Five-year quarterly Other Accumulated Expenses spans a low of $783 million in Q2 2022 and a high of $1.28 billion in Q3 2025.
- Year over year, Other Accumulated Expenses has now increased in each of the last nine quarters, with growth averaging 8.2% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q2 2023 (growth of 24.5%); the low point was Q2 2022 (a decline of 3.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $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 Other 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=other-accumulated-expenses&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();