Coffee Holding (JVA) Cost of Revenue (2010 - 2026)
Coffee Holding (JVA) recorded Cost of Revenue of $16.26 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 24.9% from $21.66 million a year earlier and down 12.8% from the prior quarter.
Coffee Holding (JVA) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Coffee Holding's Cost of Revenue came in at $77.76 million as of Jul 31, 2026, up 6.4% year-over-year; for FY2025 (ended Oct 31, 2025), it was $80.87 million, up 29.3% from FY2024.
- Annual Cost of Revenue has increased for three straight fiscal years, with a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $62.52 million in FY2024 (+9.3%), $57.21 million in FY2023 (+4.6%) and $54.69 million in FY2022.
- The fiscal Q3 2026 figure is the lowest quarterly Cost of Revenue since fiscal Q1 2025.
- On a year-over-year basis, Cost of Revenue rose in five of the last eight quarters, with growth averaging 14.4%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 45.5% in fiscal Q3 2025, against a decline of 24.9% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $18.64 million (Q2 2026), $19.44 million (Q1 2026) and $23.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 4.97 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | 2.32 Bn |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 11.07 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 7.08 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 1.12 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | 1.92 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | 15.67 Bn |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 4.24 Bn |
| 10 | Coffee Holding | 22.72 Mn | 14.03 Mn | 5.42 Mn | 16.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 16.26 Mn |
| Apr 30, 2026 | 18.64 Mn |
| Jan 31, 2026 | 19.44 Mn |
| Oct 31, 2025 | 23.42 Mn |
| Jul 31, 2025 | 21.66 Mn |
| Apr 30, 2025 | 19.59 Mn |
| Jan 31, 2025 | 15.57 Mn |
| Oct 31, 2024 | 16.28 Mn |
| Jul 31, 2024 | 14.89 Mn |
| Apr 30, 2024 | 15.29 Mn |
| Jan 31, 2024 | 16.06 Mn |
| Oct 31, 2023 | 15.40 Mn |
| Jul 31, 2023 | 13.32 Mn |
| Apr 30, 2023 | 12.49 Mn |
| Jan 31, 2023 | 16.01 Mn |
| Oct 31, 2022 | 13.89 Mn |
| Jul 31, 2022 | 13.87 Mn |
| Apr 30, 2022 | 14.51 Mn |
| Jan 31, 2022 | 12.43 Mn |
| Jul 31, 2021 | 10.71 Mn |
Coffee Holding Cost of Revenue 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=cost-of-revenue&ticker=JVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "JVA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=JVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();