Coca-Cola Consolidated (COKE) Depreciation and Depletion (2010 - 2026)
Coca-Cola Consolidated (COKE) reported Depreciation and Depletion of $52.79 million for Q3 2026, up 7.2% from $49.22 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Coca-Cola Consolidated (COKE) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Oct 2, 2026, Coca-Cola Consolidated's Depreciation and Depletion came in at $205.34 million, up 7.9% year-over-year; for FY2024, it was $170.34 million, up 11.0% from FY2023.
- Depreciation and Depletion has a five-year compound annual growth rate of 1.7% (FY2019 to FY2024).
- By year, Depreciation and Depletion came in at $153.47 million in FY2023 (+3.7%), $147.96 million in FY2022 (-5.9%), $157.32 million in FY2021 (+0.9%) and $155.94 million in FY2020 (-0.6%).
- The Q3 2026 figure ranks as the highest quarterly Depreciation and Depletion since Q4 2016.
- Year over year, Depreciation and Depletion has now increased in each of the last three quarters, with growth averaging 11.7% over the last seven quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2025 (growth of 17.0%); the low point was Q3 2022 (a decline of 12.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 208.00 Mn |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | - |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | 96.80 Mn |
| 10 | Coca-Cola Consolidated | 11.75 Bn | 10.75 Bn | 771.58 Mn | 52.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 52.79 Mn |
| Jul 3, 2026 | 52.29 Mn |
| Apr 3, 2026 | 51.04 Mn |
| Sep 26, 2025 | 49.22 Mn |
| Jun 27, 2025 | 48.90 Mn |
| Mar 28, 2025 | 47.51 Mn |
| Dec 31, 2024 | 44.75 Mn |
| Sep 27, 2024 | 42.91 Mn |
| Jun 28, 2024 | 41.80 Mn |
| Mar 29, 2024 | 40.89 Mn |
| Dec 31, 2023 | 39.81 Mn |
| Sep 29, 2023 | 38.25 Mn |
| Jun 30, 2023 | 37.81 Mn |
| Mar 31, 2023 | 37.60 Mn |
| Dec 31, 2022 | 37.30 Mn |
| Sep 30, 2022 | 36.62 Mn |
| Jul 1, 2022 | 36.68 Mn |
| Apr 1, 2022 | 37.36 Mn |
| Dec 31, 2021 | 39.41 Mn |
| Oct 1, 2021 | 41.65 Mn |
API Access
Coca-Cola Consolidated Depreciation and Depletion 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=depreciation-and-depletion&ticker=COKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=COKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();