Restaurant Brands International Limited Partnership (RSTRF) Accounts Payables (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) reported Accounts Payables of $884 million for Q2 2026, up 15.9% from $763 million a year earlier and up 8.7% from the prior quarter.
Restaurant Brands International Limited Partnership (RSTRF) Accounts Payables (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International Limited Partnership posted Accounts Payables of $866 million, up 13.2% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- By year, Accounts Payables came in at $765 million in FY2024 (-3.2%), $790 million in FY2023 (+4.2%), $758 million in FY2022 (+23.5%) and $614 million in FY2021 (+32.3%).
- The Q2 2026 figure ranks as the highest quarterly Accounts Payables in data going back to Q4 2013.
- Year over year, Accounts Payables has now increased in each of the last five quarters, with growth averaging 7.7% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q4 2021 (growth of 32.3%); the low point was Q1 2025 (a decline of 5.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $813 million (Q1 2026), $866 million (Q4 2025) and $826 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 1.11 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.78 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.19 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 255.13 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 884.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 470.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 884.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.26 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 179.04 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 157.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 884.00 Mn |
| Mar 31, 2026 | 813.00 Mn |
| Dec 31, 2025 | 866.00 Mn |
| Sep 30, 2025 | 826.00 Mn |
| Jun 30, 2025 | 763.00 Mn |
| Mar 31, 2025 | 697.00 Mn |
| Dec 31, 2024 | 765.00 Mn |
| Sep 30, 2024 | 754.00 Mn |
| Jun 30, 2024 | 720.00 Mn |
| Mar 31, 2024 | 734.00 Mn |
| Dec 31, 2023 | 790.00 Mn |
| Sep 30, 2023 | 693.00 Mn |
| Jun 30, 2023 | 735.00 Mn |
| Mar 31, 2023 | 679.00 Mn |
| Dec 31, 2022 | 758.00 Mn |
| Sep 30, 2022 | 696.00 Mn |
| Jun 30, 2022 | 705.00 Mn |
| Mar 31, 2022 | 637.00 Mn |
| Dec 31, 2021 | 614.00 Mn |
| Sep 30, 2021 | 592.00 Mn |
Restaurant Brands International Limited Partnership Accounts Payables 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=accounts-payables&ticker=RSTRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();