Yum China Holdings (YUMC) Price to Book (2016 - 2026)
Yum China Holdings' (YUMC) quarterly Price to Book came in at 2.33 in Q2 2026, down 9.46% year-over-year from 2.57 in Q2 2025, and down 17.02% quarter-over-quarter from 2.8 in Q1 2026.
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Analysis
Yum China Holdings (YUMC) Price to Book (2016 - 2026) Analysis & Trends
Yum China Holdings has disclosed Price to Book across 11 years of filings, most recently posting 2.33 for Q2 2026.
- In Q2 2026, Price to Book fell 9.46% year-over-year to 2.33; the TTM figure through Jun 2026 stood at 2.33 (down 9.46% YoY), while the FY2025 annual figure was 2.77, down 2.39% from the prior year.
- Price to Book came in at 2.33 for Q2 2026 at Yum China Holdings, down from 2.8 in the prior quarter.
- In the past five years, Price to Book ranged from a high of 3.58 in Q1 2023 to a low of 1.84 in Q2 2024.
- Average Price to Book over 5 years is 2.73, with a median of 2.77 recorded in 2022.
- Year-over-year, Price to Book surged 56.7% in 2023 and sank 43.73% in 2024.
- Over 5 years, Price to Book stood at 3.2 in 2022, then declined by 24.14% to 2.43 in 2023, then advanced by 16.81% to 2.84 in 2024, then fell by 2.39% to 2.77 in 2025, then dropped by 16.04% to 2.33 in 2026.
- Per Business Quant data, the three most recent Price to Book figures were 2.33 in Q2 2026, 2.8 in Q1 2026, and 2.77 in Q4 2025.
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 | 2.33 |
| Mar 31, 2026 | 2.80 |
| Dec 31, 2025 | 2.77 |
| Sep 30, 2025 | 2.45 |
| Jun 30, 2025 | 2.57 |
| Mar 31, 2025 | 3.04 |
| Dec 31, 2024 | 2.84 |
| Sep 30, 2024 | 2.55 |
| Jun 30, 2024 | 1.84 |
| Mar 31, 2024 | 2.37 |
| Dec 31, 2023 | 2.43 |
| Sep 30, 2023 | 3.19 |
| Jun 30, 2023 | 3.27 |
| Mar 31, 2023 | 3.58 |
| Dec 31, 2022 | 3.20 |
| Sep 30, 2022 | 2.77 |
| Jun 30, 2022 | 2.79 |
| Mar 31, 2022 | 2.28 |
| Dec 31, 2021 | 2.70 |
| Sep 30, 2021 | 3.59 |
API Access
Yum China Holdings 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=YUMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "YUMC", "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=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();