Restaurant Brands International Limited Partnership (RSTRF) Receivables (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) posted Receivables of $800 million for Q2 2026, up 2.8% from $778 million a year earlier and up 4.3% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Receivables (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International Limited Partnership's Receivables came in at $794 million, up 13.8% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Restaurant Brands International Limited Partnership's Receivables was $698 million in FY2024 (-6.8%), $749 million in FY2023 (+14.2%), $656 million in FY2022 (+10.3%) and $595 million in FY2021 (+1.2%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2013.
- On a year-over-year basis, Receivables has increased in each of the last five quarters, with growth averaging 3.6% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2024, with growth of 15.3%; the weakest was Q3 2021, with a decline of 12.9%.
- According to Business Quant data, Receivables for the three prior quarters was $767 million (Q1 2026), $794 million (Q4 2025) and $761 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 74.14 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 800.00 Mn |
| Mar 31, 2026 | 767.00 Mn |
| Dec 31, 2025 | 794.00 Mn |
| Sep 30, 2025 | 761.00 Mn |
| Jun 30, 2025 | 778.00 Mn |
| Mar 31, 2025 | 677.00 Mn |
| Dec 31, 2024 | 698.00 Mn |
| Sep 30, 2024 | 693.00 Mn |
| Jun 30, 2024 | 737.00 Mn |
| Mar 31, 2024 | 749.00 Mn |
| Dec 31, 2023 | 749.00 Mn |
| Sep 30, 2023 | 692.00 Mn |
| Jun 30, 2023 | 639.00 Mn |
| Mar 31, 2023 | 657.00 Mn |
| Dec 31, 2022 | 656.00 Mn |
| Sep 30, 2022 | 639.00 Mn |
| Jun 30, 2022 | 589.00 Mn |
| Mar 31, 2022 | 643.00 Mn |
| Dec 31, 2021 | 595.00 Mn |
| Sep 30, 2021 | 576.00 Mn |
API Access
Restaurant Brands International Limited Partnership 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=receivables&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=receivables&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();