Yum China Holdings (YUMC) Exchange Rate Effect (2015 - 2026)
Yum China Holdings' Exchange Rate Effect was $4 million in Q2 2026, up 100.0% from $2 million a year earlier and up 33.3% from the prior quarter.
Yum China Holdings (YUMC) Exchange Rate Effect (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Yum China Holdings' Exchange Rate Effect was $14 million through Jun 30, 2026, up 180.0% year-over-year; for FY2025, it came in at $11 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of -22.8% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$10 million in FY2024, -$16 million in FY2023, -$53 million in FY2022 and $15 million in FY2021 (-62.5%).
- Quarterly Exchange Rate Effect has moved between -$45 million (Q3 2022) and $25 million (Q4 2023) over five years.
- The best year-over-year quarter for Exchange Rate Effect over five years was Q4 2022 (growth of 316.7%); the worst was Q3 2021 (a decline of 95.7%).
- Per Business Quant data, YUMC's Exchange Rate Effect in the three quarters before Q2 2026 was $3 million (Q1 2026), $4 million (Q4 2025) and $3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | 99.00 Mn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | -6.20 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | -9.00 Mn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 98,000.00 |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | -5.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -5.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.00 Mn |
| Mar 31, 2026 | 3.00 Mn |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | -10.00 Mn |
| Sep 30, 2024 | 11.00 Mn |
| Jun 30, 2024 | -1.00 Mn |
| Mar 31, 2024 | -10.00 Mn |
| Dec 31, 2023 | 25.00 Mn |
| Sep 30, 2023 | -4.00 Mn |
| Jun 30, 2023 | -39.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 25.00 Mn |
| Sep 30, 2022 | -45.00 Mn |
| Jun 30, 2022 | -34.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 6.00 Mn |
| Sep 30, 2021 | 1.00 Mn |
Yum China Holdings Exchange Rate Effect 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=exchange-rate-effect&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();