Coca-Cola Consolidated (COKE) Finished Goods (2014 - 2019)
Coca-Cola Consolidated (COKE) posted Finished Goods of $142.4 million for Q4 2019, down 8.35% on a QoQ basis from $155.3 million in Q3 2019, and up 5.02% year-over-year from $135.6 million in Q4 2018.
Coca-Cola Consolidated (COKE) Finished Goods (2014 - 2019) Analysis & Trends
Coca-Cola Consolidated has reported Finished Goods for 6 years, with the latest figure at $142.4 million in Q4 2019.
- On a quarterly basis, Finished Goods rose 5.02% year-over-year to $142.4 million in Q4 2019; TTM through Dec 2019 was $142.4 million, a 5.02% increase from a year earlier, with the FY2019 full-year figure at $142.4 million, up 5.02% from the prior year.
- Finished Goods was $142.4 million for Q4 2019 at Coca-Cola Consolidated, down from $155.3 million in the prior quarter.
- The five-year high for Finished Goods was $156.7 million in Q3 2018, with the low at $56.3 million in Q1 2016.
- Average Finished Goods over 5 years is $112.5 million, with a median of $122.4 million recorded in 2017.
- The sharpest annual moves came in 2017 and 2019: Finished Goods jumped 60.45% in 2017, then retreated 0.85% in 2019.
- Over 5 years, Finished Goods stood at $65.2 million in 2015, then grew by 29.65% to $84.6 million in 2016, then jumped by 37.61% to $116.4 million in 2017, then climbed by 16.51% to $135.6 million in 2018, then increased by 5.02% to $142.4 million in 2019.
- The last three Finished Goods figures came in at $142.4 million (Q4 2019), $155.3 million (Q3 2019), and $154.7 million (Q2 2019), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn |
| 10 | Coca-Cola Consolidated | 10.60 Bn | 10.42 Bn | 778.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2019 | 142.36 Mn |
| Sep 29, 2019 | 155.34 Mn |
| Jun 30, 2019 | 154.67 Mn |
| Mar 31, 2019 | 145.24 Mn |
| Dec 30, 2018 | 135.56 Mn |
| Sep 30, 2018 | 156.67 Mn |
| Jul 1, 2018 | 148.46 Mn |
| Apr 1, 2018 | 137.82 Mn |
| Dec 31, 2017 | 116.35 Mn |
| Oct 1, 2017 | 125.49 Mn |
| Jul 2, 2017 | 128.85 Mn |
| Apr 2, 2017 | 119.25 Mn |
| Jan 1, 2017 | 90.26 Mn |
| Oct 2, 2016 | 84.55 Mn |
| Jul 3, 2016 | 84.28 Mn |
| Apr 3, 2016 | 74.73 Mn |
| Jan 3, 2016 | 56.25 Mn |
| Sep 27, 2015 | 65.21 Mn |
| Jun 28, 2015 | 67.94 Mn |
| Mar 29, 2015 | 60.67 Mn |
Coca-Cola Consolidated 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=COKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "COKE", "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=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();