Yum China Holdings (YUMC) Operating Expenses (2015 - 2026)
Yum China Holdings' Operating Expenses came in at $2.79 billion for Q2 2026, up 12.4% from $2.48 billion a year earlier but down 1.2% from the prior quarter.
Powered by 
Analysis
Yum China Holdings (YUMC) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Yum China Holdings reported Operating Expenses of $11.06 billion, up 8.3% year-over-year; for FY2025, it came in at $10.51 billion, up 3.6% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $10.14 billion in FY2024 (+2.7%), $9.87 billion in FY2023 (+10.4%), $8.94 billion in FY2022 (+5.6%) and $8.47 billion in FY2021 (+16.0%).
- The five-year range for quarterly Operating Expenses is $1.66 billion (Q4 2021) to $2.82 billion (Q1 2026).
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 32.6%), and the weakest in Q4 2021 (a decline of 20.3%).
- Business Quant data shows YUMC's Operating Expenses at $2.82 billion (Q1 2026), $2.64 billion (Q4 2025) and $2.81 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.54 Bn |
| 10 | Dominos Pizza | 9.98 Bn | 9.32 Bn | 478.23 Mn | 115.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Bn |
| Mar 31, 2026 | 2.82 Bn |
| Dec 31, 2025 | 2.64 Bn |
| Sep 30, 2025 | 2.81 Bn |
| Jun 30, 2025 | 2.48 Bn |
| Mar 31, 2025 | 2.58 Bn |
| Dec 31, 2024 | 2.44 Bn |
| Sep 30, 2024 | 2.70 Bn |
| Jun 30, 2024 | 2.41 Bn |
| Mar 31, 2024 | 2.58 Bn |
| Dec 31, 2023 | 2.38 Bn |
| Sep 30, 2023 | 2.59 Bn |
| Jun 30, 2023 | 2.40 Bn |
| Mar 31, 2023 | 2.50 Bn |
| Dec 31, 2022 | 2.05 Bn |
| Sep 30, 2022 | 2.37 Bn |
| Jun 30, 2022 | 2.05 Bn |
| Mar 31, 2022 | 2.48 Bn |
| Dec 31, 2021 | 1.66 Bn |
| Sep 30, 2021 | 2.38 Bn |
API Access
Yum China Holdings Operating Expenses 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=operating-expenses&ticker=YUMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();