Yum Brands (YUM) Inventory (2009 - 2017)
Yum Brands' (YUM) quarterly Inventory came in at $13.0 million in Q4 2017, down 64.86% on a YoY basis from $37.0 million in Q4 2016, and down 13.33% quarter-over-quarter from $15.0 million in Q3 2017.
Yum Brands (YUM) Inventory (2009 - 2017) Analysis & Trends
Yum Brands (YUM) has reported Inventory for 9 consecutive years, with $13.0 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Inventory fell 64.86% year-over-year to $13.0 million; the trailing twelve-month figure through Dec 2017 stood at $13.0 million (down 64.86% YoY), and the FY2017 full-year result was $13.0 million, down 64.86% from the prior year.
- Inventory slipped to $13.0 million in Q4 2017 per YUM's latest filing, from $15.0 million in the prior quarter.
- Across five years, Inventory topped out at $319.0 million in Q2 2013 and bottomed at $13.0 million in Q4 2017.
- Historically, Inventory has averaged $208.6 million across 5 years, with a median of $256.5 million in 2014.
- The widest YoY moves for Inventory: up 10.87% in 2016, down 83.84% in 2016.
- Over 5 years, Inventory stood at $294.0 million in 2013, then grew by 2.38% to $301.0 million in 2014, then declined by 23.92% to $229.0 million in 2015, then tumbled by 83.84% to $37.0 million in 2016, then slumped by 64.86% to $13.0 million in 2017.
- According to Business Quant data, Inventory over the past three periods registered $13.0 million, $15.0 million, and $31.0 million for Q4 2017, Q3 2017, and Q2 2017 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 46.62 Mn |
| 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 | 224.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 326.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 49.69 Mn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 75.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 13.00 Mn |
| Sep 30, 2017 | 15.00 Mn |
| Jun 30, 2017 | 31.00 Mn |
| Mar 31, 2017 | 34.00 Mn |
| Dec 31, 2016 | 37.00 Mn |
| Sep 3, 2016 | 255.00 Mn |
| Jun 11, 2016 | 255.00 Mn |
| Mar 19, 2016 | 210.00 Mn |
| Dec 26, 2015 | 229.00 Mn |
| Sep 5, 2015 | 230.00 Mn |
| Jun 13, 2015 | 279.00 Mn |
| Mar 21, 2015 | 276.00 Mn |
| Dec 27, 2014 | 301.00 Mn |
| Sep 6, 2014 | 266.00 Mn |
| Jun 14, 2014 | 282.00 Mn |
| Mar 22, 2014 | 258.00 Mn |
| Dec 28, 2013 | 294.00 Mn |
| Sep 7, 2013 | 300.00 Mn |
| Jun 15, 2013 | 319.00 Mn |
| Mar 23, 2013 | 288.00 Mn |
Yum Brands Inventory 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=inventory&ticker=YUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "YUM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();