Restaurant Brands International Limited Partnership (RSTRF) Tax Provisions (2014 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) posted Tax Provisions of -$73 million for Q2 2026, compared with $87 million a year earlier.
Restaurant Brands International Limited Partnership (RSTRF) Tax Provisions (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Restaurant Brands International Limited Partnership 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 Limited Partnership'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 Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();