Yum China Holdings (YUMC) Operating Leases (2018 - 2026)
Yum China Holdings' (YUMC) quarterly Operating Leases came in at $1.7 billion in Q2 2026, down 0.74% year-over-year from $1.8 billion in Q2 2025, and down 3.05% quarter-over-quarter from $1.8 billion in Q1 2026.
Yum China Holdings (YUMC) Operating Leases (2018 - 2026) Analysis & Trends
Yum China Holdings has disclosed Operating Leases across 9 years of filings, most recently posting $1.7 billion for Q2 2026.
- In Q2 2026, Operating Leases fell 0.74% year-over-year to $1.7 billion; the TTM figure through Jun 2026 stood at $1.7 billion (down 0.74% YoY), while the FY2025 annual figure was $1.8 billion, changed 0.39% from the prior year.
- Operating Leases came in at $1.7 billion for Q2 2026 at Yum China Holdings, down from $1.8 billion in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $2.2 billion in Q1 2022 to a low of $1.7 billion in Q2 2026.
- Average Operating Leases over 5 years is $1.9 billion, with a median of $1.8 billion recorded in 2024.
- The largest YoY upside for Operating Leases was 17.64% in 2022 against a maximum downside of 16.62% in 2022.
- Over 5 years, Operating Leases stood at $1.9 billion in 2022, then fell by 0.37% to $1.9 billion in 2023, then declined by 4.37% to $1.8 billion in 2024, then advanced by 0.39% to $1.8 billion in 2025, then dropped by 4.17% to $1.7 billion in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $1.7 billion in Q2 2026, $1.8 billion in Q1 2026, and $1.8 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.75 Bn |
| Mar 31, 2026 | 1.80 Bn |
| Dec 31, 2025 | 1.82 Bn |
| Sep 30, 2025 | 1.76 Bn |
| Jun 30, 2025 | 1.76 Bn |
| Mar 31, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.82 Bn |
| Sep 30, 2024 | 1.88 Bn |
| Jun 30, 2024 | 1.83 Bn |
| Mar 31, 2024 | 1.85 Bn |
| Dec 31, 2023 | 1.90 Bn |
| Sep 30, 2023 | 1.79 Bn |
| Jun 30, 2023 | 1.77 Bn |
| Mar 31, 2023 | 1.86 Bn |
| Dec 31, 2022 | 1.91 Bn |
| Sep 30, 2022 | 1.86 Bn |
| Jun 30, 2022 | 2.00 Bn |
| Mar 31, 2022 | 2.21 Bn |
| Dec 31, 2021 | 2.29 Bn |
| Sep 30, 2021 | 2.01 Bn |
Yum China Holdings Operating Leases 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-leases&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();