Yum China Holdings (YUMC) Change in Receivables (2015 - 2026)
Yum China Holdings (YUMC) recorded Change in Receivables of $10 million in Q2 2026, down 9.1% from $11 million a year earlier but up 42.9% from the prior quarter.
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Analysis
Yum China Holdings (YUMC) Change in Receivables (2015 - 2026) Analysis & Trends
On a TTM basis, Yum China Holdings' Change in Receivables came in at $15 million as of Jun 30, 2026, down 11.8% year-over-year; for FY2025, it was $11 million, up 22.2% from FY2024.
- Annual Change in Receivables has increased for three straight years, though with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Across earlier years, Change in Receivables came in at $9 million in FY2024 (+50.0%), $6 million in FY2023 (+500.0%), $1 million in FY2022 (-80.0%) and $5 million in FY2021 (-66.7%).
- Quarterly Change in Receivables has ranged from -$11 million in Q3 2022 to $15 million in Q2 2022 over the past five years.
- On a year-over-year basis, Change in Receivables rose in four of the last six quarters, with growth averaging 117.1%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 650.0% in Q2 2022, against a decline of 80.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $7 million (Q1 2026), $6 million (Q4 2025) and -$8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | - |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | 50.80 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 12.00 Mn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 5.20 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | 54.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -11.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 54.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 10.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 20.36 Mn |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.00 Mn |
| Mar 31, 2026 | 7.00 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 30, 2025 | -8.00 Mn |
| Jun 30, 2025 | 11.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | -1.00 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 4.00 Mn |
| Sep 30, 2023 | 4.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | -5.00 Mn |
| Dec 31, 2022 | -5.00 Mn |
| Sep 30, 2022 | -11.00 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Dec 31, 2021 | 7.00 Mn |
| Sep 30, 2021 | -7.00 Mn |
API Access
Yum China Holdings Change in 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=change-in-receivables&ticker=YUMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();