Restaurant Brands International (QSR) Price to Sales (2014 - 2026)
Restaurant Brands International's (QSR) quarterly Price to Sales came in at 10.05 in Q2 2026, up 11.45% year-over-year from 9.02 in Q2 2025, and down 11.37% quarter-over-quarter from 11.34 in Q1 2026.
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Restaurant Brands International (QSR) Price to Sales (2014 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported Price to Sales for 13 consecutive years, with 10.05 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Sales rose 11.45% year-over-year to 10.05 in Q2 2026; TTM through Jun 2026 was 2.61, a 9.41% increase from a year earlier, with the FY2025 full-year figure at 2.5, changed 0.43% from the prior year.
- Price to Sales was 10.05 for Q2 2026 at Restaurant Brands International, down from 11.34 in the prior quarter.
- Over five years, Price to Sales peaked at 14.45 in Q1 2024 and troughed at 8.59 in Q3 2025.
- A 5-year average of 11.01 and a median of 10.54 in 2024 frame the typical range for Price to Sales.
- Across the five-year window, Price to Sales sank 32.23% in 2022 and jumped 45.75% in 2023, its largest moves.
- Over 5 years, Price to Sales stood at 11.76 in 2022, then climbed by 14.06% to 13.41 in 2023, then slumped by 31.34% to 9.21 in 2024, then rose by 4.04% to 9.58 in 2025, then gained by 4.86% to 10.05 in 2026.
- The last three Price to Sales figures came in at 10.05 (Q2 2026), 11.34 (Q1 2026), and 9.58 (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 | 10.05 |
| Mar 31, 2026 | 11.34 |
| Dec 31, 2025 | 9.58 |
| Sep 30, 2025 | 8.59 |
| Jun 30, 2025 | 9.02 |
| Mar 31, 2025 | 10.35 |
| Dec 31, 2024 | 9.21 |
| Sep 30, 2024 | 10.19 |
| Jun 30, 2024 | 10.72 |
| Mar 31, 2024 | 14.45 |
| Dec 31, 2023 | 13.41 |
| Sep 30, 2023 | 11.53 |
| Jun 30, 2023 | 13.63 |
| Mar 31, 2023 | 13.14 |
| Dec 31, 2022 | 11.76 |
| Sep 30, 2022 | 9.42 |
| Jun 30, 2022 | 9.36 |
| Mar 31, 2022 | 12.42 |
| Dec 31, 2021 | 12.13 |
| Sep 30, 2021 | 12.90 |
API Access
Restaurant Brands International Price to Sales 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-sales&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();