Yum China Holdings (YUMC) Debt Ratio (2022 - 2026)
Yum China Holdings' (YUMC) Debt Ratio came in at 0.01 for Q2 2026, up 229.0% from the prior quarter.
Analysis
Yum China Holdings (YUMC) Debt Ratio (2022 - 2026) Analysis & Trends
For FY2025, Yum China Holdings' Debt Ratio stood at 0.00, down 75.6% from FY2024.
- In prior years, Yum China Holdings' Debt Ratio was 0.01 in FY2024 (-18.2%), 0.01 in FY2023 and 0.00 in FY2022.
- The Q2 2026 figure stands as the highest quarterly Debt Ratio since Q1 2025.
- On a year-over-year basis, Debt Ratio increased in 1 of the last six quarters, with an average decline of 39.1%.
- According to Business Quant data, Debt Ratio for the three prior quarters was 0.00 (Q1 2026), 0.00 (Q4 2025) and 0.00 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 0.67 |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 0.47 |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.41 |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 0.53 |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 0.20 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 0.53 |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 0.01 |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 0.01 |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.01 |
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.01 |
| Dec 31, 2024 | 0.01 |
| Sep 30, 2024 | 0.03 |
| Jun 30, 2024 | 0.04 |
| Mar 31, 2024 | 0.01 |
| Dec 31, 2023 | 0.01 |
| Sep 30, 2023 | 0.02 |
| Dec 31, 2022 | 0.00 |
API Access
Yum China Holdings Debt Ratio 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=debt-ratio&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();