Coca-Cola Consolidated (COKE) Operating Expenses (2010 - 2026)
Coca-Cola Consolidated (COKE) posted Operating Expenses of $507.07 million for Q2 2026, up 7.8% from $470.41 million a year earlier and up 3.6% from the prior quarter.
Coca-Cola Consolidated (COKE) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Operating Expenses at Coca-Cola Consolidated was $2.01 billion, up 8.2% year-over-year; for FY2025, it was $1.92 billion, up 4.8% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, Coca-Cola Consolidated's Operating Expenses was $1.83 billion in FY2024 (+3.9%), $1.76 billion in FY2023 (+7.8%), $1.64 billion in FY2022 (+8.0%) and $1.52 billion in FY2021 (+4.1%).
- Quarterly Operating Expenses has run from a low of $376.59 million in Q1 2022 to a high of $512.13 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 21 quarters, with growth averaging 6.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 1.7% in Q1 2024 to 13.3% in Q3 2022.
- According to Business Quant data, Operating Expenses for the three prior quarters was $489.56 million (Q1 2026), $512.13 million (Q4 2025) and $501.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 396.91 Bn | 383.38 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 195.65 Bn | 195.65 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 177.06 Bn | 134.82 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 88.68 Bn | 76.93 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | - |
| 6 | Ambev | 51.15 Bn | 36.44 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.04 Bn | 42.71 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 46.14 Bn | 42.19 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.14 Bn | 21.69 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Coca-Cola Consolidated | 13.88 Bn | 11.51 Bn | 778.41 Mn | 507.07 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Oct 1, 2021 | 380.68 Mn |
Coca-Cola Consolidated Operating Expenses 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=operating-expenses&ticker=COKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();