Restaurant Brands International (QSR) Tax Provisions (2014 - 2026)
Restaurant Brands International (QSR) posted Tax Provisions of -$73 million for Q2 2026, compared with $87 million a year earlier.
Restaurant Brands International (QSR) Tax Provisions (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Restaurant Brands International was $279 million, down 26.6% year-over-year; for FY2025, it came in at $483 million, up 32.7% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 48.9% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's Tax Provisions was $364 million in FY2024, -$265 million in FY2023, -$117 million in FY2022 and $110 million in FY2021 (+66.7%).
- The Q2 2026 figure stands as the lowest quarterly Tax Provisions since Q4 2023.
- On a year-over-year basis, Tax Provisions increased in five of the last six quarters, with growth averaging 13.4%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2021, with growth of 575.0%; the weakest was Q1 2026, with a decline of 53.7%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $38 million (Q1 2026), $220 million (Q4 2025) and $94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 374.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | -320.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 129.73 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | -73.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 34.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -73.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 19.48 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -73.00 Mn |
| Mar 31, 2026 | 38.00 Mn |
| Dec 31, 2025 | 220.00 Mn |
| Sep 30, 2025 | 94.00 Mn |
| Jun 30, 2025 | 87.00 Mn |
| Mar 31, 2025 | 82.00 Mn |
| Dec 31, 2024 | 139.00 Mn |
| Sep 30, 2024 | 72.00 Mn |
| Jun 30, 2024 | 85.00 Mn |
| Mar 31, 2024 | 68.00 Mn |
| Dec 31, 2023 | -410.00 Mn |
| Sep 30, 2023 | 59.00 Mn |
| Jun 30, 2023 | 58.00 Mn |
| Mar 31, 2023 | 28.00 Mn |
| Dec 31, 2022 | -134.00 Mn |
| Sep 30, 2022 | -102.00 Mn |
| Jun 30, 2022 | 66.00 Mn |
| Mar 31, 2022 | 53.00 Mn |
| Dec 31, 2021 | 27.00 Mn |
| Sep 30, 2021 | 65.00 Mn |
Restaurant Brands International Tax Provisions 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=tax-provisions&ticker=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();