Restaurant Brands International Limited Partnership (RSTRF) Receivables - Net (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) posted Receivables - Net 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 - Net (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International Limited Partnership's Receivables - Net came in at $794 million, up 13.8% from FY2024.
- Annual Receivables - Net shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Restaurant Brands International Limited Partnership's Receivables - Net was $698 million in FY2024 (-6.8%), $749 million in FY2023 (+22.0%), $614 million in FY2022 (+12.2%) and $547 million in FY2021 (+2.1%).
- The Q2 2026 figure stands as the highest quarterly Receivables - Net in data going back to Q4 2013.
- On a year-over-year basis, Receivables - Net 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 - Net in the past five years was Q1 2024, with growth of 22.4%; the weakest was Q1 2025, with a decline of 9.6%.
- According to Business Quant data, Receivables - Net 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) |
|---|---|---|---|---|
| 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 | 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 | 612.00 Mn |
| Dec 31, 2022 | 614.00 Mn |
| Sep 30, 2022 | 598.00 Mn |
| Jun 30, 2022 | 551.00 Mn |
| Mar 31, 2022 | 593.00 Mn |
| Dec 31, 2021 | 547.00 Mn |
| Sep 30, 2021 | 537.00 Mn |
API Access
Restaurant Brands International Limited Partnership Receivables - Net 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-net&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();