Yum China Holdings (YUMC) Accumulated Expenses (2015 - 2026)
Yum China Holdings' (YUMC) quarterly Accumulated Expenses came in at $202.0 million in Q2 2026, down 0.98% year-over-year from $204.0 million in Q2 2025, and up 13.48% quarter-over-quarter from $178.0 million in Q1 2026.
Yum China Holdings (YUMC) Accumulated Expenses (2015 - 2026) Analysis & Trends
Yum China Holdings has disclosed Accumulated Expenses across 12 years of filings, most recently posting $202.0 million for Q2 2026.
- In Q2 2026, Accumulated Expenses fell 0.98% year-over-year to $202.0 million; the TTM figure through Jun 2026 stood at $202.0 million (down 0.98% YoY), while the FY2025 annual figure was $261.0 million, up 11.06% from the prior year.
- Accumulated Expenses came in at $202.0 million for Q2 2026 at Yum China Holdings, up from $178.0 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $306.0 million in Q3 2023 to a low of $177.0 million in Q1 2025.
- Average Accumulated Expenses over 5 years is $237.1 million, with a median of $232.5 million recorded in 2022.
- Year-over-year, Accumulated Expenses climbed 23.93% in 2023 and dropped 27.0% in 2024.
- Over 5 years, Accumulated Expenses stood at $285.0 million in 2022, then climbed by 4.91% to $299.0 million in 2023, then fell by 21.4% to $235.0 million in 2024, then climbed by 11.06% to $261.0 million in 2025, then fell by 22.61% to $202.0 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $202.0 million in Q2 2026, $178.0 million in Q1 2026, and $261.0 million 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 | 202.00 Mn |
| Mar 31, 2026 | 178.00 Mn |
| Dec 31, 2025 | 261.00 Mn |
| Sep 30, 2025 | 228.00 Mn |
| Jun 30, 2025 | 204.00 Mn |
| Mar 31, 2025 | 177.00 Mn |
| Dec 31, 2024 | 235.00 Mn |
| Sep 30, 2024 | 231.00 Mn |
| Jun 30, 2024 | 213.00 Mn |
| Mar 31, 2024 | 192.00 Mn |
| Dec 31, 2023 | 299.00 Mn |
| Sep 30, 2023 | 306.00 Mn |
| Jun 30, 2023 | 290.00 Mn |
| Mar 31, 2023 | 263.00 Mn |
| Dec 31, 2022 | 285.00 Mn |
| Sep 30, 2022 | 252.00 Mn |
| Jun 30, 2022 | 234.00 Mn |
| Mar 31, 2022 | 217.00 Mn |
| Dec 31, 2021 | 283.00 Mn |
| Sep 30, 2021 | 257.00 Mn |
Yum China Holdings Accumulated Expenses 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=accumulated-expenses&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();