Coca-Cola Consolidated (COKE) Selling, General & Administrative (2010 - 2026)
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Analysis
Coca-Cola Consolidated (COKE) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn | 3.98 Bn |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn | - |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn | - |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - | 1.63 Bn |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn | 2.40 Bn |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | 281.32 Mn |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Coca-Cola Consolidated | 11.75 Bn | 10.75 Bn | 771.58 Mn | 499.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 499.99 Mn |
| Jul 3, 2026 | 507.07 Mn |
| Apr 3, 2026 | 489.56 Mn |
| Dec 31, 2025 | 512.13 Mn |
| Sep 26, 2025 | 501.88 Mn |
| Jun 27, 2025 | 470.41 Mn |
| Mar 28, 2025 | 437.28 Mn |
| Dec 31, 2024 | 479.13 Mn |
| Sep 27, 2024 | 470.98 Mn |
| Jun 28, 2024 | 457.57 Mn |
| Mar 29, 2024 | 425.15 Mn |
| Dec 31, 2023 | 463.01 Mn |
| Sep 29, 2023 | 445.29 Mn |
| Jun 30, 2023 | 437.91 Mn |
| Mar 31, 2023 | 418.05 Mn |
| Dec 31, 2022 | 425.77 Mn |
| Sep 30, 2022 | 431.18 Mn |
| Jul 1, 2022 | 403.37 Mn |
| Apr 1, 2022 | 376.59 Mn |
| Dec 31, 2021 | 405.74 Mn |
API Access
Coca-Cola Consolidated Selling, General & Administrative 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=selling-general-and-administrative&ticker=COKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();