Coca-Cola Consolidated (COKE) Accumulated Expenses (2010 - 2026)
Coca-Cola Consolidated (COKE) reported Accumulated Expenses of $298.03 million for Q2 2026, up 13.9% from $261.64 million a year earlier but down 6.7% from the prior quarter.
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Analysis
Coca-Cola Consolidated (COKE) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Coca-Cola Consolidated posted Accumulated Expenses of $307.24 million, up 24.5% from FY2024.
- Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $246.69 million in FY2024 (+3.7%), $237.99 million in FY2023 (+18.4%), $200.98 million in FY2022 (-11.4%) and $226.77 million in FY2021 (+10.5%).
- Five-year quarterly Accumulated Expenses spans a low of $200.98 million in Q4 2022 and a high of $319.5 million in Q1 2026.
- Year over year, Accumulated Expenses has now increased in each of the last 12 quarters, with growth averaging 12.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2024 (growth of 26.5%); the low point was Q1 2023 (a decline of 12.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $319.5 million (Q1 2026), $307.24 million (Q4 2025) and $292.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 394.76 Bn | 381.23 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.90 Bn | 193.90 Bn | 2.06 Bn |
| 3 | Pepsico | 175.24 Bn | 133.00 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.77 Bn | 77.03 Bn | 1.42 Bn |
| 5 | Diageo | 52.19 Bn | 32.26 Bn | - |
| 6 | Ambev | 50.68 Bn | 35.97 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.06 Bn | 42.72 Bn | - |
| 8 | Keurig Dr Pepper | 46.50 Bn | 42.54 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.07 Bn | 21.62 Bn | 1.39 Bn |
| 10 | Coca-Cola Consolidated | 13.60 Bn | 11.23 Bn | 778.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 298.03 Mn |
| Apr 3, 2026 | 319.50 Mn |
| Dec 31, 2025 | 307.24 Mn |
| Sep 26, 2025 | 292.87 Mn |
| Jun 27, 2025 | 261.64 Mn |
| Mar 28, 2025 | 266.91 Mn |
| Dec 31, 2024 | 246.69 Mn |
| Sep 27, 2024 | 276.74 Mn |
| Jun 28, 2024 | 254.65 Mn |
| Mar 29, 2024 | 254.47 Mn |
| Dec 31, 2023 | 237.99 Mn |
| Sep 29, 2023 | 224.54 Mn |
| Jun 30, 2023 | 228.65 Mn |
| Mar 31, 2023 | 207.42 Mn |
| Dec 31, 2022 | 200.98 Mn |
| Sep 30, 2022 | 213.14 Mn |
| Jul 1, 2022 | 233.39 Mn |
| Apr 1, 2022 | 236.81 Mn |
| Dec 31, 2021 | 230.87 Mn |
| Oct 1, 2021 | 220.38 Mn |
API Access
Coca-Cola Consolidated Accumulated 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=accumulated-expenses&ticker=COKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();