Yum China Holdings (YUMC) Divestments (2015 - 2018)
Yum China Holdings (YUMC) recorded Divestments of $2 million in Q2 2018, up 100.0% from $1 million a year earlier and up 100.0% from the prior quarter.
Yum China Holdings (YUMC) Divestments (2015 - 2018) Analysis & Trends
On a TTM basis, Yum China Holdings' Divestments came in at $7 million as of Jun 30, 2018, down 75.9% year-over-year; for FY2017, it was $7 million, down 78.1% from FY2016.
- Annual Divestments has a three-year compound annual growth rate of -39.1% (FY2014 to FY2017).
- Across earlier years, Divestments came in at $32 million in FY2016 (+18.5%), $27 million in FY2015 (-12.9%) and $31 million in FY2014.
- Quarterly Divestments has ranged from $1 million in Q2 2017 to $13 million in Q4 2016 over the past five years.
- On a year-over-year basis, Divestments rose in 1 of the last four quarters, with an average decline of 4.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | - |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | - |
| 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 | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 2.00 Mn |
| Mar 31, 2018 | 1.00 Mn |
| Dec 31, 2017 | 4.00 Mn |
| Jun 30, 2017 | 1.00 Mn |
| Mar 31, 2017 | 2.00 Mn |
| Dec 31, 2016 | 13.00 Mn |
| Dec 31, 2015 | 13.00 Mn |
Yum China Holdings Divestments 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=divestments&ticker=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();