Coffee Holding (JVA) Total Liabilities (2010 - 2026)
Coffee Holding's Total Liabilities came in at $9.17 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 52.0% from $19.11 million a year earlier and down 9.0% from the prior quarter.
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Analysis
Coffee Holding (JVA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coffee Holding's Total Liabilities was $14.47 million, up 84.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $7.83 million in FY2024 (-57.6%), $18.48 million in FY2023 (+1.8%), $18.14 million in FY2022 (+69.0%) and $10.74 million in FY2021 (+1.2%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q4 2024.
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with growth averaging 11.2%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2025 (growth of 128.0%), and the weakest in fiscal Q4 2024 (a decline of 57.6%).
- Business Quant data shows JVA's Total Liabilities at $10.07 million (Q2 2026), $12.39 million (Q1 2026) and $14.47 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 401.84 Bn | 388.31 Bn | 8.42 Bn | 69.61 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.29 Bn | 198.29 Bn | 2.06 Bn | - |
| 3 | Pepsico | 182.79 Bn | 140.55 Bn | 13.75 Bn | 89.49 Bn |
| 4 | Monster Beverage | 92.06 Bn | 80.31 Bn | 1.42 Bn | 2.02 Bn |
| 5 | Diageo | 51.95 Bn | 32.02 Bn | - | 33.89 Bn |
| 6 | Ambev | 51.85 Bn | 37.14 Bn | 2.06 Bn | 9.52 Bn |
| 7 | Coca-Cola Europacific Partners | 51.70 Bn | 44.37 Bn | - | 25.89 Bn |
| 8 | Keurig Dr Pepper | 47.08 Bn | 43.13 Bn | 3.07 Bn | 58.39 Bn |
| 9 | Constellation Brands | 22.57 Bn | 22.12 Bn | 1.39 Bn | 13.18 Bn |
| 10 | Coffee Holding | 27.12 Mn | 18.43 Mn | 5.42 Mn | 9.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.17 Mn |
| Apr 30, 2026 | 10.07 Mn |
| Jan 31, 2026 | 12.39 Mn |
| Oct 31, 2025 | 14.47 Mn |
| Jul 31, 2025 | 19.11 Mn |
| Apr 30, 2025 | 11.75 Mn |
| Jan 31, 2025 | 11.55 Mn |
| Oct 31, 2024 | 7.83 Mn |
| Jul 31, 2024 | 8.38 Mn |
| Apr 30, 2024 | 10.88 Mn |
| Jan 31, 2024 | 13.51 Mn |
| Oct 31, 2023 | 18.48 Mn |
| Jul 31, 2023 | 15.77 Mn |
| Apr 30, 2023 | 13.67 Mn |
| Jan 31, 2023 | 16.83 Mn |
| Oct 31, 2022 | 18.14 Mn |
| Jul 31, 2022 | 15.16 Mn |
| Apr 30, 2022 | 12.47 Mn |
| Jan 31, 2022 | 14.02 Mn |
| Oct 31, 2021 | 13.94 Mn |
API Access
Coffee Holding Total Liabilities 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=total-liabilities&ticker=JVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();