Restaurant Brands International Limited Partnership (RSTRF) Receivables - Net (2013 - 2026)
Analysis
Restaurant Brands International Limited Partnership (RSTRF) Receivables - Net (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 799.00 Mn |
| 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 |
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_KEY
import 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();