Yum China Holdings (YUMC) EBITDA (2015 - 2026)
Yum China Holdings (YUMC) posted EBITDA of $468 million for Q2 2026, up 13.0% from $414 million a year earlier but down 17.0% from the prior quarter.
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Analysis
Yum China Holdings (YUMC) EBITDA (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Yum China Holdings was $1.85 billion, up 9.7% year-over-year; for FY2025, it was $1.74 billion, up 6.1% from FY2024.
- Annual EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In prior years, Yum China Holdings' EBITDA was $1.64 billion in FY2024 (+5.1%), $1.56 billion in FY2023 (+26.6%), $1.23 billion in FY2022 (-35.3%) and $1.9 billion in FY2021 (+34.8%).
- Quarterly EBITDA has run from a low of $176 million in Q4 2022 to a high of $769 million in Q4 2021 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last nine quarters, with growth averaging 10.7% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 153.8%; the weakest was Q4 2022, with a decline of 77.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $564 million (Q1 2026), $302 million (Q4 2025) and $514 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 468.00 Mn |
| Mar 31, 2026 | 564.00 Mn |
| Dec 31, 2025 | 302.00 Mn |
| Sep 30, 2025 | 514.00 Mn |
| Jun 30, 2025 | 414.00 Mn |
| Mar 31, 2025 | 508.00 Mn |
| Dec 31, 2024 | 272.00 Mn |
| Sep 30, 2024 | 491.00 Mn |
| Jun 30, 2024 | 384.00 Mn |
| Mar 31, 2024 | 491.00 Mn |
| Dec 31, 2023 | 224.00 Mn |
| Sep 30, 2023 | 434.00 Mn |
| Jun 30, 2023 | 369.00 Mn |
| Mar 31, 2023 | 532.00 Mn |
| Dec 31, 2022 | 176.00 Mn |
| Sep 30, 2022 | 466.00 Mn |
| Jun 30, 2022 | 234.00 Mn |
| Mar 31, 2022 | 355.00 Mn |
| Dec 31, 2021 | 769.00 Mn |
| Sep 30, 2021 | 306.00 Mn |
API Access
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_KEYimport 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();