Coca-Cola Consolidated (COKE) Capital Expenditures (2010 - 2026)
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Analysis
Coca-Cola Consolidated (COKE) Capital Expenditures (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn | 379.00 Mn |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn | 916.00 Mn |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn | 244.13 Mn |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn | 48.43 Mn |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn | 181.00 Mn |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | -220.37 Mn |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | 176.90 Mn |
| 10 | Coca-Cola Consolidated | 11.75 Bn | 10.75 Bn | 771.58 Mn | 71.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 71.93 Mn |
| Jul 3, 2026 | 84.24 Mn |
| Apr 3, 2026 | 63.11 Mn |
| Dec 31, 2025 | 102.32 Mn |
| Sep 26, 2025 | 52.61 Mn |
| Jun 27, 2025 | 59.52 Mn |
| Mar 28, 2025 | 97.87 Mn |
| Dec 31, 2024 | 83.68 Mn |
| Sep 27, 2024 | 127.93 Mn |
| Jun 28, 2024 | 82.36 Mn |
| Mar 29, 2024 | 77.04 Mn |
| Dec 31, 2023 | 130.04 Mn |
| Sep 29, 2023 | 59.37 Mn |
| Jun 30, 2023 | 40.19 Mn |
| Mar 31, 2023 | 52.70 Mn |
| Dec 31, 2022 | 114.68 Mn |
| Sep 30, 2022 | 38.75 Mn |
| Jul 1, 2022 | 40.83 Mn |
| Apr 1, 2022 | 104.35 Mn |
| Dec 31, 2021 | 36.07 Mn |
API Access
Coca-Cola Consolidated Capital Expenditures 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=capital-expenditures&ticker=COKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();