Yum Brands (YUM) Price to Book (2009 - 2026)
Yum Brands' (YUM) quarterly Price to Book came in at 6.14 in Q2 2026, down 14.63% on a YoY basis from 7.19 in Q2 2025, and down 4.32% quarter-over-quarter from 5.88 in Q1 2026.
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Analysis
Yum Brands (YUM) Price to Book (2009 - 2026) Analysis & Trends
Yum Brands (YUM) has reported Price to Book for 18 consecutive years, with 6.14 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book fell 14.63% year-over-year to 6.14; the trailing twelve-month figure through Jun 2026 stood at 6.14 (down 14.63% YoY), and the FY2025 full-year result was 5.71, down 16.61% from the prior year.
- Price to Book retreated to 6.14 in Q2 2026 per YUM's latest filing, from 5.88 in the prior quarter.
- Across five years, Price to Book topped out at 3.51 in Q3 2022 and bottomed at 6.14 in Q2 2026.
- Historically, Price to Book has averaged 4.85 across 5 years, with a median of 4.89 in 2024.
- The sharpest annual moves came in 2022 and 2023: Price to Book climbed 23.17% in 2022, then fell 22.08% in 2023.
- Over 5 years, Price to Book stood at 4.04 in 2022, then fell by 15.74% to 4.68 in 2023, then fell by 4.66% to 4.9 in 2024, then declined by 16.61% to 5.71 in 2025, then dropped by 7.52% to 6.14 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 6.14, 5.88, and 5.71 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 | -6.14 |
| Mar 31, 2026 | -5.88 |
| Dec 31, 2025 | -5.71 |
| Sep 30, 2025 | -5.62 |
| Jun 30, 2025 | -5.35 |
| Mar 31, 2025 | -5.60 |
| Dec 31, 2024 | -4.90 |
| Sep 30, 2024 | -5.08 |
| Jun 30, 2024 | -4.88 |
| Mar 31, 2024 | -5.03 |
| Dec 31, 2023 | -4.68 |
| Sep 30, 2023 | -4.28 |
| Jun 30, 2023 | -4.60 |
| Mar 31, 2023 | -4.22 |
| Dec 31, 2022 | -4.04 |
| Sep 30, 2022 | -3.51 |
| Jun 30, 2022 | -3.77 |
| Mar 31, 2022 | -3.98 |
| Dec 31, 2021 | -4.79 |
| Sep 30, 2021 | -4.56 |
API Access
Yum Brands 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=YUM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();