Coffee Holding (JVA) Total Current Liabilities (2010 - 2026)
Coffee Holding's Total Current Liabilities was $8.12 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 52.3% from $17.05 million a year earlier and down 8.2% from the prior quarter.
Coffee Holding (JVA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Total Current Liabilities at Coffee Holding came in at $12.81 million, up 87.1% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $6.85 million in FY2024 (-55.5%), $15.38 million in FY2023 (+138.8%), $6.44 million in FY2022 (+61.7%) and $3.98 million in FY2021 (-14.2%).
- The fiscal Q3 2026 figure marks the lowest quarterly Total Current Liabilities since fiscal Q2 2025.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 16.4%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2024 (growth of 197.9%); the worst was fiscal Q2 2023 (a decline of 68.8%).
- Per Business Quant data, JVA's Total Current Liabilities in the three fiscal quarters before Q3 2026 was $8.85 million (Q2 2026), $10.95 million (Q1 2026) and $12.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 401.84 Bn | 388.31 Bn | 8.42 Bn | 25.20 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 | 34.53 Bn |
| 4 | Monster Beverage | 92.06 Bn | 80.31 Bn | 1.42 Bn | 1.72 Bn |
| 5 | Diageo | 51.95 Bn | 32.02 Bn | - | 10.73 Bn |
| 6 | Ambev | 51.85 Bn | 37.14 Bn | 2.06 Bn | 7.65 Bn |
| 7 | Coca-Cola Europacific Partners | 51.70 Bn | 44.37 Bn | - | 8.91 Bn |
| 8 | Keurig Dr Pepper | 47.08 Bn | 43.13 Bn | 3.07 Bn | 19.74 Bn |
| 9 | Constellation Brands | 22.57 Bn | 22.12 Bn | 1.39 Bn | 2.96 Bn |
| 10 | Coffee Holding | 27.12 Mn | 18.43 Mn | 5.42 Mn | 8.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.12 Mn |
| Apr 30, 2026 | 8.85 Mn |
| Jan 31, 2026 | 10.95 Mn |
| Oct 31, 2025 | 12.81 Mn |
| Jul 31, 2025 | 17.05 Mn |
| Apr 30, 2025 | 6.49 Mn |
| Jan 31, 2025 | 9.08 Mn |
| Oct 31, 2024 | 6.85 Mn |
| Jul 31, 2024 | 7.35 Mn |
| Apr 30, 2024 | 8.25 Mn |
| Jan 31, 2024 | 10.75 Mn |
| Oct 31, 2023 | 15.38 Mn |
| Jul 31, 2023 | 12.40 Mn |
| Apr 30, 2023 | 2.77 Mn |
| Jan 31, 2023 | 5.17 Mn |
| Oct 31, 2022 | 6.44 Mn |
| Jul 31, 2022 | 5.44 Mn |
| Apr 30, 2022 | 8.86 Mn |
| Jan 31, 2022 | 10.46 Mn |
| Oct 31, 2021 | 6.52 Mn |
Coffee Holding Total Current 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-current-liabilities&ticker=JVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=JVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();