Restaurant Brands International Limited Partnership (RSTRF) Other Accumulated Expenses (2013 - 2023)
Restaurant Brands International Limited Partnership's Other Accumulated Expenses was $1.01 billion in Q4 2023, up 0.4% from $1 billion a year earlier.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Other Accumulated Expenses (2013 - 2023) Analysis & Trends
From Q4 2013 onward, Restaurant Brands International Limited Partnership has reported Other Accumulated Expenses for 13 quarters.
- In earlier years, Other Accumulated Expenses was $1 billion in FY2022.
- The Q4 2023 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q4 2013.
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 |
|---|---|
| Dec 31, 2023 | 1.01 Bn |
| Dec 31, 2022 | 1.00 Bn |
| Mar 31, 2017 | 83.70 Mn |
| Dec 31, 2016 | 81.30 Mn |
| Sep 30, 2016 | 86.90 Mn |
| Jun 30, 2016 | 83.80 Mn |
| Mar 31, 2016 | 73.80 Mn |
| Dec 31, 2015 | 90.90 Mn |
| Sep 30, 2015 | 75.10 Mn |
| Jun 30, 2015 | 76.60 Mn |
| Mar 31, 2015 | 69.90 Mn |
| Dec 31, 2014 | 102.40 Mn |
| Dec 31, 2013 | 59.50 Mn |
API Access
Restaurant Brands International Limited Partnership Other Accumulated Expenses 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=other-accumulated-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();