Yum China Holdings (YUMC) Cash & Equivalents (2015 - 2026)
Yum China Holdings (YUMC) reported Cash & Equivalents of $485 million for Q2 2026, down 18.1% from $592 million a year earlier but up 2.5% from the prior quarter.
Yum China Holdings (YUMC) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Yum China Holdings posted Cash & Equivalents of $506 million, down 30.0% from FY2024.
- Cash & Equivalents has declined for five consecutive years, with a five-year compound annual growth rate of -15.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $723 million in FY2024 (-35.9%), $1.13 billion in FY2023 (-0.2%), $1.13 billion in FY2022 (-0.5%) and $1.14 billion in FY2021 (-1.9%).
- Five-year quarterly Cash & Equivalents spans a low of $473 million in Q1 2026 and a high of $1.28 billion in Q3 2021.
- Year over year, Cash & Equivalents has now declined in each of the last seven quarters, with an average decline of 27.1% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2023 (growth of 6.1%); the low point was Q3 2025 (a decline of 45.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $473 million (Q1 2026), $506 million (Q4 2025) and $648 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 202.43 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 327.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 485.00 Mn |
| Mar 31, 2026 | 473.00 Mn |
| Dec 31, 2025 | 506.00 Mn |
| Sep 30, 2025 | 648.00 Mn |
| Jun 30, 2025 | 592.00 Mn |
| Mar 31, 2025 | 825.00 Mn |
| Dec 31, 2024 | 723.00 Mn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 883.00 Mn |
| Dec 31, 2023 | 1.13 Bn |
| Sep 30, 2023 | 1.13 Bn |
| Jun 30, 2023 | 1.19 Bn |
| Mar 31, 2023 | 1.11 Bn |
| Dec 31, 2022 | 1.13 Bn |
| Sep 30, 2022 | 1.21 Bn |
| Jun 30, 2022 | 1.15 Bn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 1.14 Bn |
| Sep 30, 2021 | 1.28 Bn |
Yum China Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();