Coca-Cola Consolidated (COKE) Current Taxes (2012 - 2019)
Coca-Cola Consolidated (COKE) posted Current Taxes of $1.7 million for Q4 2019, down 65.68% on a QoQ basis from $4.8 million in Q1 2013.
Coca-Cola Consolidated (COKE) Current Taxes (2012 - 2019) Analysis & Trends
Coca-Cola Consolidated has reported Current Taxes for 3 years, with the latest figure at $1.7 million in Q4 2019.
- On a quarterly basis, Current Taxes changed N/A year-over-year to $1.7 million in Q4 2019; TTM through Dec 2019 was $1.7 million, a N/A change from a year earlier, with the FY2019 full-year figure at $1.7 million, changed N/A from the prior year.
- Current Taxes was $1.7 million for Q4 2019 at Coca-Cola Consolidated, down from $4.8 million in the prior quarter.
- The five-year high for Current Taxes was $1.7 million in Q4 2019, with the low at $1.7 million in Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 782.00 Mn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | -207.00 Mn |
| 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 | 58.32 Mn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | 346.55 Mn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | 399.27 Mn |
| 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 | 10.29 Bn |
| 10 | Coca-Cola Consolidated | 10.60 Bn | 10.42 Bn | 778.41 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2019 | 1.65 Mn |
| Mar 31, 2013 | 4.81 Mn |
| Apr 1, 2012 | 2.86 Mn |
Coca-Cola Consolidated Current Taxes 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=current-taxes&ticker=COKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();