Yum China Holdings (YUMC) EBITDA (2015 - 2026)
Yum China Holdings' (YUMC) quarterly EBITDA came in at $348.0 million in Q2 2026, up 14.47% year-over-year from $304.0 million in Q2 2025, and down 22.15% quarter-over-quarter from $447.0 million in Q1 2026.
Yum China Holdings (YUMC) EBITDA (2015 - 2026) Analysis & Trends
Yum China Holdings has disclosed EBITDA across 12 years of filings, most recently posting $348.0 million for Q2 2026.
- In Q2 2026, EBITDA rose 14.47% year-over-year to $348.0 million; the TTM figure through Jun 2026 stood at $1.4 billion (up 12.82% YoY), while the FY2025 annual figure was $1.3 billion, up 11.02% from the prior year.
- EBITDA came in at $348.0 million for Q2 2026 at Yum China Holdings, down from $447.0 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $447.0 million in Q1 2026 to a low of $41.0 million in Q4 2022.
- Average EBITDA over 5 years is $276.8 million, with a median of $310.0 million recorded in 2022.
- Year-over-year, EBITDA plunged 93.52% in 2022 and surged 217.28% in 2023.
- Over 5 years, EBITDA stood at $41.0 million in 2022, then jumped by 168.29% to $110.0 million in 2023, then surged by 37.27% to $151.0 million in 2024, then climbed by 23.84% to $187.0 million in 2025, then surged by 86.1% to $348.0 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were $348.0 million in Q2 2026, $447.0 million in Q1 2026, and $187.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 1.34 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 525.60 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 142.79 Mn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 232.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 348.00 Mn |
| Mar 31, 2026 | 447.00 Mn |
| Dec 31, 2025 | 187.00 Mn |
| Sep 30, 2025 | 400.00 Mn |
| Jun 30, 2025 | 304.00 Mn |
| Mar 31, 2025 | 399.00 Mn |
| Dec 31, 2024 | 151.00 Mn |
| Sep 30, 2024 | 371.00 Mn |
| Jun 30, 2024 | 266.00 Mn |
| Mar 31, 2024 | 374.00 Mn |
| Dec 31, 2023 | 110.00 Mn |
| Sep 30, 2023 | 323.00 Mn |
| Jun 30, 2023 | 257.00 Mn |
| Mar 31, 2023 | 416.00 Mn |
| Dec 31, 2022 | 41.00 Mn |
| Sep 30, 2022 | 316.00 Mn |
| Jun 30, 2022 | 81.00 Mn |
| Mar 31, 2022 | 191.00 Mn |
| Dec 31, 2021 | 633.00 Mn |
| Sep 30, 2021 | 178.00 Mn |
Yum China Holdings EBITDA 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=ebitda&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();