Kraft Heinz (KHC) Finished Goods (2014 - 2018)
Kraft Heinz's Finished Goods came in at $2.15 billion for Q3 2018, up 6.9% from $2.01 billion a year earlier and up 3.4% from the prior quarter.
Analysis
Kraft Heinz (KHC) Finished Goods (2014 - 2018) Analysis & Trends
At the end of FY2017, Kraft Heinz's Finished Goods was $1.82 billion, up 3.5% from FY2016.
- Finished Goods has increased in each of the last three years, with a three-year compound annual growth rate of 30.0% (FY2014 to FY2017).
- Going back by year, Finished Goods was $1.75 billion in FY2016 (+5.5%), $1.66 billion in FY2015 (+101.2%) and $826 million in FY2014.
- The Q3 2018 figure represents the highest quarterly Finished Goods in data going back to Q4 2014.
- Year-over-year, Finished Goods increased in four of the last six quarters, with growth averaging 3.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2018 | 2.15 Bn |
| Jun 30, 2018 | 2.08 Bn |
| Dec 30, 2017 | 1.82 Bn |
| Sep 30, 2017 | 2.01 Bn |
| Jul 1, 2017 | 1.89 Bn |
| Dec 31, 2016 | 1.75 Bn |
| Oct 2, 2016 | 2.05 Bn |
| Jul 3, 2016 | 1.91 Bn |
| Apr 3, 2016 | 1.86 Bn |
| Jan 3, 2016 | 1.66 Bn |
| Sep 27, 2015 | 1.97 Bn |
| Jun 28, 2015 | 978.00 Mn |
| Dec 28, 2014 | 826.00 Mn |
API Access
Kraft Heinz Finished Goods 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=finished-goods&ticker=KHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "KHC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=KHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();