Restaurant Brands International (QSR) Change in Accured Expenses (2014 - 2026)
Restaurant Brands International's Change in Accured Expenses came in at -$8 million for Q2 2026, compared with $32 million a year earlier.
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Analysis
Restaurant Brands International (QSR) Change in Accured Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Restaurant Brands International reported Change in Accured Expenses of -$36 million; for FY2025, it was -$7 million.
- Going back by year, Change in Accured Expenses was -$37 million in FY2024, $9 million in FY2023 (-75.7%), $37 million in FY2022 (-44.8%) and $67 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$187 million (Q1 2025) to $154 million (Q4 2021).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 30.4%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2021 (growth of 755.6%), and the weakest in Q4 2025 (a decline of 59.0%).
- Business Quant data shows QSR's Change in Accured Expenses at -$176 million (Q1 2026), $55 million (Q4 2025) and $93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 4.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 100.69 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 15.18 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.00 Mn |
| Mar 31, 2026 | -176.00 Mn |
| Dec 31, 2025 | 55.00 Mn |
| Sep 30, 2025 | 93.00 Mn |
| Jun 30, 2025 | 32.00 Mn |
| Mar 31, 2025 | -187.00 Mn |
| Dec 31, 2024 | 134.00 Mn |
| Sep 30, 2024 | 39.00 Mn |
| Jun 30, 2024 | -35.00 Mn |
| Mar 31, 2024 | -175.00 Mn |
| Dec 31, 2023 | 71.00 Mn |
| Sep 30, 2023 | 73.00 Mn |
| Jun 30, 2023 | -12.00 Mn |
| Mar 31, 2023 | -123.00 Mn |
| Dec 31, 2022 | 111.00 Mn |
| Sep 30, 2022 | 125.00 Mn |
| Jun 30, 2022 | -108.00 Mn |
| Mar 31, 2022 | -91.00 Mn |
| Dec 31, 2021 | 154.00 Mn |
| Sep 30, 2021 | 42.00 Mn |
API Access
Restaurant Brands International Change in Accured 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=change-in-accured-expenses&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();