Coca-Cola Consolidated (COKE) Notes Payables (2010 - 2019)
Coca-Cola Consolidated (COKE) posted Notes Payables of $1.2 million for Q4 2019, down 83.78% on a QoQ basis from $7.2 million in Q3 2019, and down 88.61% year-over-year from $10.3 million in Q4 2018.
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Analysis
Coca-Cola Consolidated (COKE) Notes Payables (2010 - 2019) Analysis & Trends
Coca-Cola Consolidated has reported Notes Payables for 3 years, with the latest figure at $1.2 million in Q4 2019.
- On a quarterly basis, Notes Payables fell 88.61% year-over-year to $1.2 million in Q4 2019; TTM through Dec 2019 was $1.2 million, a 88.61% decrease from a year earlier, with the FY2019 full-year figure at $1.2 million, down 88.61% from the prior year.
- Notes Payables was $1.2 million for Q4 2019 at Coca-Cola Consolidated, down from $7.2 million in the prior quarter.
- The five-year high for Notes Payables was $10.3 million in Q4 2018, with the low at $1.2 million in Q4 2019.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2019 | 1.17 Mn |
| Sep 29, 2019 | 7.24 Mn |
| Jun 30, 2019 | 7.52 Mn |
| Mar 31, 2019 | 3.95 Mn |
| Dec 30, 2018 | 10.31 Mn |
| Jul 4, 2010 | 5.00 Mn |
API Access
Coca-Cola Consolidated Notes Payables 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=notes-payables&ticker=COKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();