Coca Cola (KO) Operating Expenses (2009 - 2026)
Coca Cola's Operating Expenses came in at $3.72 billion for Q2 2026, up 7.2% from $3.47 billion a year earlier and up 7.1% from the prior quarter.
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Analysis
Coca Cola (KO) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Coca Cola reported Operating Expenses of $15.01 billion, up 4.3% year-over-year; for FY2025, it came in at $14.52 billion, down 0.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $14.58 billion in FY2024 (+4.4%), $13.97 billion in FY2023 (+8.5%), $12.88 billion in FY2022 (+6.1%) and $12.14 billion in FY2021 (+24.8%).
- The five-year range for quarterly Operating Expenses is $2.97 billion (Q1 2022) to $4.2 billion (Q4 2025).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 2.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 28.9%), and the weakest in Q1 2025 (a decline of 3.5%).
- Business Quant data shows KO's Operating Expenses at $3.47 billion (Q1 2026), $4.2 billion (Q4 2025) and $3.62 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 396.33 Bn | 382.80 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.36 Bn | 193.36 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 175.33 Bn | 133.09 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 88.62 Bn | 76.87 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 52.28 Bn | 32.34 Bn | - | - |
| 6 | Ambev | 50.68 Bn | 35.97 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.01 Bn | 42.68 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 46.15 Bn | 42.19 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.06 Bn | 21.61 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Coca-Cola Consolidated | 13.72 Bn | 11.35 Bn | 778.41 Mn | 507.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 3.72 Bn |
| Apr 3, 2026 | 3.47 Bn |
| Dec 31, 2025 | 4.20 Bn |
| Sep 26, 2025 | 3.62 Bn |
| Jun 27, 2025 | 3.47 Bn |
| Mar 28, 2025 | 3.23 Bn |
| Dec 31, 2024 | 4.05 Bn |
| Sep 27, 2024 | 3.64 Bn |
| Jun 28, 2024 | 3.55 Bn |
| Mar 29, 2024 | 3.35 Bn |
| Dec 31, 2023 | 3.80 Bn |
| Sep 29, 2023 | 3.67 Bn |
| Jun 30, 2023 | 3.32 Bn |
| Mar 31, 2023 | 3.19 Bn |
| Dec 31, 2022 | 3.43 Bn |
| Sep 30, 2022 | 3.28 Bn |
| Jul 1, 2022 | 3.20 Bn |
| Apr 1, 2022 | 2.97 Bn |
| Dec 31, 2021 | 3.34 Bn |
| Oct 1, 2021 | 3.12 Bn |
API Access
Coca Cola 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=KO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KO", "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=KO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();