Yum China Holdings (YUMC) Price to Earnings (2016 - 2026)
Yum China Holdings' (YUMC) quarterly Price to Earnings came in at 53.82 in Q2 2026, down 25.05% year-over-year from 71.81 in Q2 2025, and up 3.41% quarter-over-quarter from 52.04 in Q1 2026.
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Analysis
Yum China Holdings (YUMC) Price to Earnings (2016 - 2026) Analysis & Trends
Yum China Holdings has disclosed Price to Earnings across 11 years of filings, most recently posting 53.82 for Q2 2026.
- In Q2 2026, Price to Earnings fell 25.05% year-over-year to 53.82; the TTM figure through Jun 2026 stood at 13.74 (down 19.39% YoY), while the FY2025 annual figure was 17.33, down 7.85% from the prior year.
- Price to Earnings came in at 53.82 for Q2 2026 at Yum China Holdings, up from 52.04 in the prior quarter.
- In the past five years, Price to Earnings ranged from a high of 636.07 in Q4 2022 to a low of 50.81 in Q1 2024.
- Average Price to Earnings over 5 years is 128.8, with a median of 85.76 recorded in 2023.
- Year-over-year, Price to Earnings jumped 1319.34% in 2022 and slumped 71.42% in 2023.
- Over 5 years, Price to Earnings stood at 636.07 in 2022, then tumbled by 71.42% to 181.78 in 2023, then dropped by 13.65% to 156.97 in 2024, then retreated by 20.83% to 124.26 in 2025, then sank by 56.69% to 53.82 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 53.82 in Q2 2026, 52.04 in Q1 2026, and 124.26 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 | 53.82 |
| Mar 31, 2026 | 52.04 |
| Dec 31, 2025 | 124.26 |
| Sep 30, 2025 | 52.25 |
| Jun 30, 2025 | 71.81 |
| Mar 31, 2025 | 63.18 |
| Dec 31, 2024 | 156.97 |
| Sep 30, 2024 | 54.11 |
| Jun 30, 2024 | 52.21 |
| Mar 31, 2024 | 50.81 |
| Dec 31, 2023 | 181.78 |
| Sep 30, 2023 | 87.26 |
| Jun 30, 2023 | 109.58 |
| Mar 31, 2023 | 84.93 |
| Dec 31, 2022 | 636.07 |
| Sep 30, 2022 | 86.60 |
| Jun 30, 2022 | 242.50 |
| Mar 31, 2022 | 158.30 |
| Dec 31, 2021 | 44.81 |
| Sep 30, 2021 | 221.97 |
API Access
Yum China Holdings Price to Earnings 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-earnings&ticker=YUMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();