Yum China Holdings (YUMC) Receivables (2015 - 2026)
Yum China Holdings (YUMC) recorded Receivables of $115 million in Q2 2026, up 22.3% from $94 million a year earlier and up 11.7% from the prior quarter.
Yum China Holdings (YUMC) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2025, Yum China Holdings reported Receivables of $95 million, up 20.3% from FY2024.
- Annual Receivables has increased for three straight years, though with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $79 million in FY2024 (+16.2%), $68 million in FY2023 (+6.3%), $64 million in FY2022 (-4.5%) and $67 million in FY2021 (-32.3%).
- The Q2 2026 figure is the highest quarterly Receivables in data going back to Q4 2015.
- On a year-over-year basis, Receivables has increased for 11 consecutive quarters, with growth averaging 19.8% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 27.4% in Q3 2024, against a decline of 32.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $103 million (Q1 2026), $95 million (Q4 2025) and $86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 74.14 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 1.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.00 Mn |
| Mar 31, 2026 | 103.00 Mn |
| Dec 31, 2025 | 95.00 Mn |
| Sep 30, 2025 | 86.00 Mn |
| Jun 30, 2025 | 94.00 Mn |
| Mar 31, 2025 | 81.00 Mn |
| Dec 31, 2024 | 79.00 Mn |
| Sep 30, 2024 | 79.00 Mn |
| Jun 30, 2024 | 74.00 Mn |
| Mar 31, 2024 | 74.00 Mn |
| Dec 31, 2023 | 68.00 Mn |
| Sep 30, 2023 | 62.00 Mn |
| Jun 30, 2023 | 59.00 Mn |
| Mar 31, 2023 | 59.00 Mn |
| Dec 31, 2022 | 64.00 Mn |
| Sep 30, 2022 | 66.00 Mn |
| Jun 30, 2022 | 79.00 Mn |
| Mar 31, 2022 | 70.00 Mn |
| Dec 31, 2021 | 67.00 Mn |
| Sep 30, 2021 | 97.00 Mn |
Yum China Holdings Receivables 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=receivables&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();