Yum China Holdings (YUMC) Other Operating Expenses (2015 - 2026)
Yum China Holdings (YUMC) reported Other Operating Expenses of $38 million for Q2 2026, up 26.7% from $30 million a year earlier and up 22.6% from the prior quarter.
Powered by 
Analysis
Yum China Holdings (YUMC) Other Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Yum China Holdings' Other Operating Expenses came in at $142 million, up 15.4% year-over-year; for FY2025, it was $132 million, up 8.2% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $122 million in FY2024 (+8.9%), $112 million in FY2023, -$94 million in FY2022 and $643 million in FY2021 (+125.6%).
- Five-year quarterly Other Operating Expenses spans a low of -$25 million in Q1 2022 and a high of $602 million in Q4 2021.
- Year over year, Other Operating Expenses has now increased in each of the last five quarters, with growth averaging 8.4% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q2 2026 (growth of 26.7%); the low point was Q3 2021 (a decline of 93.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31 million (Q1 2026), $38 million (Q4 2025) and $35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn |
| 10 | Luckin Coffee | 11.80 Bn | 6.89 Bn | 1.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.00 Mn |
| Jun 30, 2026 | 38.00 Mn |
| Mar 31, 2026 | 31.00 Mn |
| Dec 31, 2025 | 38.00 Mn |
| Sep 30, 2025 | 35.00 Mn |
| Jun 30, 2025 | 31.00 Mn |
| Mar 31, 2025 | 29.00 Mn |
| Dec 31, 2024 | 32.00 Mn |
| Sep 30, 2024 | 32.00 Mn |
| Jun 30, 2024 | 29.00 Mn |
| Mar 31, 2024 | 30.00 Mn |
| Dec 31, 2023 | 36.00 Mn |
| Sep 30, 2023 | 29.00 Mn |
| Jun 30, 2023 | 24.00 Mn |
| Mar 31, 2023 | 23.00 Mn |
| Dec 31, 2022 | 4.00 Mn |
| Sep 30, 2022 | -6.00 Mn |
| Jun 30, 2022 | -6.00 Mn |
| Mar 31, 2022 | -8.00 Mn |
| Dec 31, 2021 | 652.00 Mn |
API Access
Yum China Holdings Other 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=other-operating-expenses&ticker=YUMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();