Restaurant Brands International (QSR) Change in Other Operating Assets (2015 - 2026)
Restaurant Brands International (QSR) reported Change in Other Operating Assets of $20 million for Q3 2026, down 56.5% from $46 million a year earlier and down 33.3% from the prior quarter.
Restaurant Brands International (QSR) Change in Other Operating Assets (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Restaurant Brands International's Change in Other Operating Assets came in at $46 million, down 2.1% year-over-year; for FY2025, it came in at $67 million.
- Change in Other Operating Assets has a five-year compound annual growth rate of 46.3% (FY2020 to FY2025).
- By year, Change in Other Operating Assets came in at -$30 million in FY2024, $43 million in FY2023 (-29.5%), $61 million in FY2022 and -$12 million in FY2021.
- Five-year quarterly Change in Other Operating Assets spans a low of -$29 million in Q4 2024 and a high of $46 million in Q3 2025.
- The high point for year-over-year Change in Other Operating Assets in five years was Q1 2022 (growth of 450.0%); the low point was Q3 2023 (a decline of 90.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $30 million (Q2 2026), $5 million (Q1 2026) and -$9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.79 Bn | 191.61 Bn | 6.42 Bn | - |
| 2 | Starbucks | 121.02 Bn | 108.65 Bn | - | - |
| 3 | Yum Brands | 45.33 Bn | 42.21 Bn | 1.47 Bn | 19.00 Mn |
| 4 | Chipotle Mexican Grill | 44.75 Bn | 41.25 Bn | - | 8.67 Mn |
| 5 | Restaurant Brands International | 27.39 Bn | 24.77 Bn | 1.40 Bn | 20.00 Mn |
| 6 | Darden Restaurants | 25.86 Bn | 24.96 Bn | 1.68 Bn | 19.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 20.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 11.53 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.58 Bn | 11.94 Bn | - | 9.35 Mn |
| 10 | Dominos Pizza | 11.24 Bn | 10.49 Bn | 476.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.00 Mn |
| Jun 30, 2026 | 30.00 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | -9.00 Mn |
| Sep 30, 2025 | 46.00 Mn |
| Jun 30, 2025 | -9.00 Mn |
| Mar 31, 2025 | 39.00 Mn |
| Dec 31, 2024 | -29.00 Mn |
| Sep 30, 2024 | 13.00 Mn |
| Jun 30, 2024 | -7.00 Mn |
| Mar 31, 2024 | -7.00 Mn |
| Dec 31, 2023 | -6.00 Mn |
| Sep 30, 2023 | 4.00 Mn |
| Jun 30, 2023 | 25.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | -6.00 Mn |
| Sep 30, 2022 | 40.00 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 22.00 Mn |
| Dec 31, 2021 | -15.00 Mn |
Restaurant Brands International Change in Other Operating Assets 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=change-in-other-operating-assets&ticker=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "ticker": "QSR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-other-operating-assets&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();