Restaurant Brands International Limited Partnership (RSTRF) Change in Accured Expenses (2014 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) reported Change in Accured Expenses of -$8 million for Q2 2026, compared with $32 million a year earlier.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Change in Accured Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Restaurant Brands International Limited Partnership's Change in Accured Expenses came in at -$36 million; for FY2025, it was -$7 million.
- By year, Change in Accured Expenses came in at -$37 million in FY2024, $9 million in FY2023 (-75.7%), $37 million in FY2022 (-44.8%) and $67 million in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$187 million in Q1 2025 and a high of $154 million in Q4 2021.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 30.4%.
- The high point for year-over-year Change in Accured Expenses in five years was Q4 2021 (growth of 755.6%); the low point was Q4 2025 (a decline of 59.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$176 million (Q1 2026), $55 million (Q4 2025) and $93 million (Q3 2025).
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 Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();