Yum China Holdings (YUMC) Revenue (2015 - 2026)
Yum China Holdings' (YUMC) quarterly Revenue came in at $3.1 billion in Q2 2026, up 12.59% year-over-year from $2.8 billion in Q2 2025, and down 4.07% quarter-over-quarter from $3.3 billion in Q1 2026.
Yum China Holdings (YUMC) Revenue (2015 - 2026) Analysis & Trends
Yum China Holdings has disclosed Revenue across 12 years of filings, most recently posting $3.1 billion for Q2 2026.
- In Q2 2026, Revenue rose 12.59% year-over-year to $3.1 billion; the TTM figure through Jun 2026 stood at $12.4 billion (up 8.78% YoY), while the FY2025 annual figure was $11.8 billion, up 4.37% from the prior year.
- Revenue came in at $3.1 billion for Q2 2026 at Yum China Holdings, down from $3.3 billion in the prior quarter.
- In the past five years, Revenue ranged from a high of $3.3 billion in Q1 2026 to a low of $2.1 billion in Q4 2022.
- Average Revenue over 5 years is $2.8 billion, with a median of $2.8 billion recorded in 2025.
- Year-over-year, Revenue retreated 13.18% in 2022 and gained 24.72% in 2023.
- Over 5 years, Revenue stood at $2.1 billion in 2022, then gained by 19.4% to $2.5 billion in 2023, then climbed by 4.09% to $2.6 billion in 2024, then grew by 8.79% to $2.8 billion in 2025, then advanced by 11.16% to $3.1 billion in 2026.
- Per Business Quant data, the three most recent Revenue figures were $3.1 billion in Q2 2026, $3.3 billion in Q1 2026, and $2.8 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 3.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.68 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.14 Bn |
| Mar 31, 2026 | 3.27 Bn |
| Dec 31, 2025 | 2.82 Bn |
| Sep 30, 2025 | 3.21 Bn |
| Jun 30, 2025 | 2.79 Bn |
| Mar 31, 2025 | 2.98 Bn |
| Dec 31, 2024 | 2.60 Bn |
| Sep 30, 2024 | 3.07 Bn |
| Jun 30, 2024 | 2.68 Bn |
| Mar 31, 2024 | 2.96 Bn |
| Dec 31, 2023 | 2.49 Bn |
| Sep 30, 2023 | 2.91 Bn |
| Jun 30, 2023 | 2.65 Bn |
| Mar 31, 2023 | 2.92 Bn |
| Dec 31, 2022 | 2.09 Bn |
| Sep 30, 2022 | 2.69 Bn |
| Jun 30, 2022 | 2.13 Bn |
| Mar 31, 2022 | 2.67 Bn |
| Dec 31, 2021 | 2.29 Bn |
| Sep 30, 2021 | 2.55 Bn |
Yum China Holdings Revenue 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=revenue&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();