Yum Brands (YUM) Price to Sales (2009 - 2026)
Yum Brands' (YUM) quarterly Price to Sales came in at 20.11 in Q2 2026, down 5.46% on a YoY basis from 21.28 in Q2 2025, and down 3.36% quarter-over-quarter from 20.81 in Q1 2026.
Powered by 
Analysis
Yum Brands (YUM) Price to Sales (2009 - 2026) Analysis & Trends
Yum Brands (YUM) has reported Price to Sales for 18 consecutive years, with 20.11 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Sales fell 5.46% year-over-year to 20.11; the trailing twelve-month figure through Jun 2026 stood at 5.0 (down 3.82% YoY), and the FY2025 full-year result was 5.09, up 2.64% from the prior year.
- Price to Sales retreated to 20.11 in Q2 2026 per YUM's latest filing, from 20.81 in the prior quarter.
- Across five years, Price to Sales topped out at 24.48 in Q1 2025 and bottomed at 15.85 in Q4 2024.
- Historically, Price to Sales has averaged 20.5 across 5 years, with a median of 20.97 in 2024.
- The sharpest annual moves came in 2022 and 2023: Price to Sales decreased 18.18% in 2022, then grew 16.57% in 2023.
- Over 5 years, Price to Sales stood at 17.77 in 2022, then climbed by 1.61% to 18.05 in 2023, then retreated by 12.2% to 15.85 in 2024, then increased by 4.89% to 16.63 in 2025, then rose by 20.96% to 20.11 in 2026.
- According to Business Quant data, Price to Sales over the past three periods registered 20.11, 20.81, and 16.63 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 | 20.11 |
| Mar 31, 2026 | 20.81 |
| Dec 31, 2025 | 16.63 |
| Sep 30, 2025 | 21.33 |
| Jun 30, 2025 | 21.28 |
| Mar 31, 2025 | 24.48 |
| Dec 31, 2024 | 15.85 |
| Sep 30, 2024 | 21.35 |
| Jun 30, 2024 | 21.12 |
| Mar 31, 2024 | 24.44 |
| Dec 31, 2023 | 18.05 |
| Sep 30, 2023 | 20.50 |
| Jun 30, 2023 | 23.01 |
| Mar 31, 2023 | 22.49 |
| Dec 31, 2022 | 17.77 |
| Sep 30, 2022 | 18.27 |
| Jun 30, 2022 | 19.74 |
| Mar 31, 2022 | 21.85 |
| Dec 31, 2021 | 21.23 |
| Sep 30, 2021 | 22.32 |
API Access
Yum Brands 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=YUM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "YUM", "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=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();