Restaurant Brands International Limited Partnership (RSTRF) Change in Receivables (2014 - 2026)
Restaurant Brands International Limited Partnership's Change in Receivables came in at $54 million for Q2 2026, down 37.9% from $87 million a year earlier.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Change in Receivables (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Restaurant Brands International Limited Partnership reported Change in Receivables of $41 million, down 44.6% year-over-year; for FY2025, it was $89 million.
- Change in Receivables carries a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- Going back by year, Change in Receivables was -$7 million in FY2024, $147 million in FY2023 (+33.6%), $110 million in FY2022 and -$8 million in FY2021.
- The five-year range for quarterly Change in Receivables is -$50 million (Q2 2022) to $97 million (Q3 2022).
- The fastest year-over-year change in Change in Receivables over five years came in Q4 2022 (growth of 466.7%), and the weakest in Q3 2021 (a decline of 87.2%).
- Business Quant data shows RSTRF's Change in Receivables at -$30 million (Q1 2026), $23 million (Q4 2025) and -$6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | - |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 50.80 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 12.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 5.20 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 54.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -11.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 54.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 10.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 20.36 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.00 Mn |
| Mar 31, 2026 | -30.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | -6.00 Mn |
| Jun 30, 2025 | 87.00 Mn |
| Mar 31, 2025 | -15.00 Mn |
| Dec 31, 2024 | 50.00 Mn |
| Sep 30, 2024 | -48.00 Mn |
| Jun 30, 2024 | -15.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 61.00 Mn |
| Sep 30, 2023 | 57.00 Mn |
| Jun 30, 2023 | 21.00 Mn |
| Mar 31, 2023 | 8.00 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Sep 30, 2022 | 97.00 Mn |
| Jun 30, 2022 | -50.00 Mn |
| Mar 31, 2022 | 46.00 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Sep 30, 2021 | 6.00 Mn |
API Access
Restaurant Brands International Limited Partnership Change in Receivables 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-receivables&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();