Restaurant Brands International Limited Partnership (RSTRF) Receivables - Other (2013 - 2023)
Restaurant Brands International Limited Partnership (RSTRF) posted Receivables - Other of $45 million for Q1 2023, down 10.0% from $50 million a year earlier but up 7.1% from the prior quarter.
Restaurant Brands International Limited Partnership (RSTRF) Receivables - Other (2013 - 2023) Analysis & Trends
At the end of FY2022, Restaurant Brands International Limited Partnership's Receivables - Other came in at $42 million, down 12.5% from FY2021.
- Annual Receivables - Other shows a five-year compound annual growth rate of 5.6% (FY2017 to FY2022).
- In prior years, Restaurant Brands International Limited Partnership's Receivables - Other was $48 million in FY2021 (-7.7%), $52 million in FY2020 (+10.6%), $47 million in FY2019 (+14.6%) and $41 million in FY2018 (+28.1%).
- Quarterly Receivables - Other has run from a low of $33 million in Q1 2019 to a high of $72 million in Q3 2020 over five years.
- On a year-over-year basis, Receivables - Other increased in two of the last eight quarters, with an average decline of 13.5%.
- The strongest year-over-year quarter for Receivables - Other in the past five years was Q3 2020, with growth of 111.8%; the weakest was Q3 2021, with a decline of 45.8%.
- According to Business Quant data, Receivables - Other for the three prior quarters was $42 million (Q4 2022), $41 million (Q3 2022) and $38 million (Q2 2022).
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
| Date | Value |
|---|---|
| Mar 31, 2023 | 45.00 Mn |
| Dec 31, 2022 | 42.00 Mn |
| Sep 30, 2022 | 41.00 Mn |
| Jun 30, 2022 | 38.00 Mn |
| Mar 31, 2022 | 50.00 Mn |
| Dec 31, 2021 | 48.00 Mn |
| Sep 30, 2021 | 39.00 Mn |
| Jun 30, 2021 | 49.00 Mn |
| Mar 31, 2021 | 46.00 Mn |
| Dec 31, 2020 | 52.00 Mn |
| Sep 30, 2020 | 72.00 Mn |
| Jun 30, 2020 | 64.00 Mn |
| Mar 31, 2020 | 42.00 Mn |
| Dec 31, 2019 | 47.00 Mn |
| Sep 30, 2019 | 34.00 Mn |
| Jun 30, 2019 | 43.00 Mn |
| Mar 31, 2019 | 33.00 Mn |
| Dec 31, 2018 | 41.00 Mn |
| Sep 30, 2018 | 33.20 Mn |
| Jun 30, 2018 | 33.90 Mn |
Restaurant Brands International Limited Partnership Receivables - Other 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-other&ticker=RSTRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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-other&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();