Coca-Cola Consolidated (COKE) Acquisitions (2014 - 2018)
Coca-Cola Consolidated (COKE) posted Acquisitions of $10.3 million for Q4 2018, down 75.59% on a QoQ basis from $42.2 million in Q3 2018, and down 72.38% year-over-year from $37.3 million in Q4 2017.
Coca-Cola Consolidated (COKE) Acquisitions (2014 - 2018) Analysis & Trends
Coca-Cola Consolidated has reported Acquisitions for 5 years, with the latest figure at $10.3 million in Q4 2018.
- On a quarterly basis, Acquisitions fell 72.38% year-over-year to $10.3 million in Q4 2018; TTM through Dec 2018 was $173.0 million, a 64.33% decrease from a year earlier, with the FY2018 full-year figure at -$456000.0, down 100.17% from the prior year.
- Acquisitions was $10.3 million for Q4 2018 at Coca-Cola Consolidated, down from $42.2 million in the prior quarter.
- The five-year high for Acquisitions was $219.9 million in Q1 2017, with the low at $1.5 million in Q3 2015.
- Average Acquisitions over 5 years is $64.8 million, with a median of $42.2 million recorded in 2018.
- The sharpest annual moves came in 2015 and 2017: Acquisitions soared 259.91% in 2015, then tumbled 83.04% in 2017.
- Over 5 years, Acquisitions stood at $29.4 million in 2014, then sank by 95.03% to $1.5 million in 2015, then jumped by 6797.27% to $100.9 million in 2016, then tumbled by 63.04% to $37.3 million in 2017, then plunged by 72.38% to $10.3 million in 2018.
- The last three Acquisitions figures came in at $10.3 million (Q4 2018), $42.2 million (Q3 2018), and $83.2 million (Q3 2018), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 30, 2018 | 10.30 Mn |
| Sep 30, 2018 | 42.20 Mn |
| Jul 1, 2018 | 83.20 Mn |
| Dec 31, 2017 | 37.29 Mn |
| Jul 2, 2017 | 87.80 Mn |
| Apr 2, 2017 | 139.96 Mn |
| Jan 1, 2017 | 219.90 Mn |
| Apr 3, 2016 | 100.91 Mn |
| Sep 27, 2015 | 1.46 Mn |
| Jun 28, 2015 | 43.78 Mn |
| Mar 29, 2015 | 33.39 Mn |
| Dec 28, 2014 | 29.43 Mn |
| Jun 29, 2014 | 12.16 Mn |
Coca-Cola Consolidated Acquisitions 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=acquisitions&ticker=COKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();