Coffee Holding (JVA) Selling, General & Administrative (2010 - 2026)
Coffee Holding's Selling, General & Administrative came in at $2.9 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 8.4% from $3.17 million a year earlier and down 1.5% from the prior quarter.
Coffee Holding (JVA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Coffee Holding reported Selling, General & Administrative of $12.73 million, down 0.4% year-over-year; for FY2025 (ended Oct 31, 2025), it was $12.42 million, down 0.3% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Going back by fiscal year, Selling, General & Administrative was $12.46 million in FY2024 (+6.6%), $11.68 million in FY2023 (-10.1%) and $12.99 million in FY2022.
- The fiscal Q3 2026 figure represents the lowest quarterly Selling, General & Administrative since fiscal Q2 2025.
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 3.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q1 2025 (growth of 46.1%), and the weakest in fiscal Q2 2025 (a decline of 28.4%).
- Business Quant data shows JVA's Selling, General & Administrative at $2.94 million (Q2 2026), $3.54 million (Q1 2026) and $3.35 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.54 Bn | 359.17 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 205.37 Bn | 197.77 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 177.39 Bn | 177.39 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.43 Bn | 131.87 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 131.23 Bn | 99.97 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 82.55 Bn | 70.80 Bn | 1.42 Bn | - |
| 7 | Ambev | 45.71 Bn | 31.73 Bn | 2.06 Bn | -263.15 Mn |
| 8 | Coca-Cola Europacific Partners | 45.26 Bn | 38.51 Bn | - | -1.63 Bn |
| 9 | Keurig Dr Pepper | 41.76 Bn | 42.00 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Coffee Holding | 22.49 Mn | 13.80 Mn | 5.42 Mn | 2.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.90 Mn |
| Apr 30, 2026 | 2.94 Mn |
| Jan 31, 2026 | 3.54 Mn |
| Oct 31, 2025 | 3.35 Mn |
| Jul 31, 2025 | 3.17 Mn |
| Apr 30, 2025 | 2.60 Mn |
| Jan 31, 2025 | 3.93 Mn |
| Oct 31, 2024 | 3.09 Mn |
| Jul 31, 2024 | 3.05 Mn |
| Apr 30, 2024 | 3.63 Mn |
| Jan 31, 2024 | 2.69 Mn |
| Oct 31, 2023 | 2.96 Mn |
| Jul 31, 2023 | 2.71 Mn |
| Apr 30, 2023 | 3.07 Mn |
| Jan 31, 2023 | 2.94 Mn |
| Oct 31, 2022 | 3.46 Mn |
| Jul 31, 2022 | 2.76 Mn |
| Apr 30, 2022 | 3.22 Mn |
| Jan 31, 2022 | 3.57 Mn |
| Jul 31, 2021 | 3.09 Mn |
Coffee Holding Selling, General & Administrative 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=selling-general-and-administrative&ticker=JVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=JVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();