Restaurant Brands International (QSR) Price to Book (2014 - 2026)
Restaurant Brands International's (QSR) quarterly Price to Book came in at 4.69 in Q2 2026, up 9.95% year-over-year from 4.27 in Q2 2025, and down 3.25% quarter-over-quarter from 4.85 in Q1 2026.
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Restaurant Brands International (QSR) Price to Book (2014 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported Price to Book for 13 consecutive years, with 4.69 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book rose 9.95% year-over-year to 4.69 in Q2 2026; TTM through Jun 2026 was 4.69, a 9.95% increase from a year earlier, with the FY2025 full-year figure at 4.58, up 4.9% from the prior year.
- Price to Book was 4.69 for Q2 2026 at Restaurant Brands International, down from 4.85 in the prior quarter.
- Over five years, Price to Book peaked at 5.2 in Q1 2024 and troughed at 3.92 in Q2 2022.
- A 5-year average of 4.59 and a median of 4.57 in 2022 frame the typical range for Price to Book.
- Across the five-year window, Price to Book declined 15.84% in 2022 and surged 31.9% in 2023, its largest moves.
- Over 5 years, Price to Book stood at 4.65 in 2022, then rose by 10.9% to 5.16 in 2023, then fell by 15.4% to 4.37 in 2024, then gained by 4.9% to 4.58 in 2025, then increased by 2.47% to 4.69 in 2026.
- The last three Price to Book figures came in at 4.69 (Q2 2026), 4.85 (Q1 2026), and 4.58 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.69 |
| Mar 31, 2026 | 4.85 |
| Dec 31, 2025 | 4.58 |
| Sep 30, 2025 | 4.07 |
| Jun 30, 2025 | 4.27 |
| Mar 31, 2025 | 4.53 |
| Dec 31, 2024 | 4.37 |
| Sep 30, 2024 | 4.63 |
| Jun 30, 2024 | 4.50 |
| Mar 31, 2024 | 5.20 |
| Dec 31, 2023 | 5.16 |
| Sep 30, 2023 | 4.54 |
| Jun 30, 2023 | 5.17 |
| Mar 31, 2023 | 4.85 |
| Dec 31, 2022 | 4.65 |
| Sep 30, 2022 | 4.03 |
| Jun 30, 2022 | 3.92 |
| Mar 31, 2022 | 4.55 |
| Dec 31, 2021 | 4.87 |
| Sep 30, 2021 | 4.69 |
API Access
Restaurant Brands International Price to Book 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=price-to-book&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();