Coca-Cola Consolidated (COKE) Other Accumulated Expenses (2010 - 2023)
Coca-Cola Consolidated's Other Accumulated Expenses came in at $189.3 million for Q1 2023, up 18.7% from $159.51 million a year earlier and up 16.3% from the prior quarter.
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Analysis
Coca-Cola Consolidated (COKE) Other Accumulated Expenses (2010 - 2023) Analysis & Trends
At the end of FY2022, Coca-Cola Consolidated's Other Accumulated Expenses was $162.78 million, up 11.7% from FY2021.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -1.0% (FY2017 to FY2022).
- Going back by year, Other Accumulated Expenses was $145.67 million in FY2021 (+35.9%), $107.18 million in FY2020 (-1.4%), $108.7 million in FY2019 (-3.3%) and $112.43 million in FY2018 (-34.3%).
- The five-year range for quarterly Other Accumulated Expenses is $107.18 million (Q4 2020) to $234.7 million (Q2 2018).
- Year-over-year, Other Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 19.7% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q2 2022 (growth of 42.2%), and the weakest in Q2 2019 (a decline of 42.1%).
- Business Quant data shows COKE's Other Accumulated Expenses at $162.78 million (Q4 2022), $189.89 million (Q3 2022) and $198.74 million (Q2 2022) in the three quarters before Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 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 | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn |
| 10 | Coca-Cola Consolidated | 11.75 Bn | 10.75 Bn | 771.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 189.30 Mn |
| Dec 31, 2022 | 162.78 Mn |
| Sep 30, 2022 | 189.89 Mn |
| Jul 1, 2022 | 198.74 Mn |
| Apr 1, 2022 | 159.51 Mn |
| Dec 31, 2021 | 145.67 Mn |
| Oct 1, 2021 | 153.70 Mn |
| Jul 2, 2021 | 139.76 Mn |
| Apr 2, 2021 | 142.30 Mn |
| Dec 31, 2020 | 107.18 Mn |
| Sep 27, 2020 | 135.66 Mn |
| Jun 28, 2020 | 139.78 Mn |
| Mar 29, 2020 | 136.77 Mn |
| Dec 29, 2019 | 108.70 Mn |
| Sep 29, 2019 | 130.92 Mn |
| Jun 30, 2019 | 136.00 Mn |
| Mar 31, 2019 | 120.78 Mn |
| Dec 30, 2018 | 112.43 Mn |
| Sep 30, 2018 | 142.85 Mn |
| Jul 1, 2018 | 234.70 Mn |
API Access
Coca-Cola Consolidated Other 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=other-accumulated-expenses&ticker=COKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();