Jones Soda (JSDA) Total Current Liabilities (2009 - 2026)
Jones Soda's Total Current Liabilities came in at $15.76 million for Q3 2026, up 80.5% from $8.73 million a year earlier and up 26.0% from the prior quarter.
Jones Soda (JSDA) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Soda's Total Current Liabilities was $13.76 million, up 116.2% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 40.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $6.37 million in FY2024 (+170.2%), $2.36 million in FY2023 (-29.4%), $3.34 million in FY2022 (-25.7%) and $4.49 million in FY2021 (+80.5%).
- The Q3 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q1 2009.
- Year-over-year, Total Current Liabilities has increased for 11 consecutive quarters, with growth averaging 84.4% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2024 (growth of 170.2%), and the weakest in Q1 2023 (a decline of 49.1%).
- Business Quant data shows JSDA's Total Current Liabilities at $12.51 million (Q2 2026), $15.28 million (Q1 2026) and $13.76 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 426.96 Bn | 415.44 Bn | 8.45 Bn | 24.21 Bn |
| 2 | Diageo | 247.11 Bn | 229.26 Bn | - | 10.73 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 202.87 Bn | 202.87 Bn | 37.08 Bn | - |
| 4 | Pepsico | 198.20 Bn | 156.16 Bn | 13.75 Bn | 34.53 Bn |
| 5 | Anheuser-Busch InBev | 152.44 Bn | 152.44 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 90.94 Bn | 88.18 Bn | 1.40 Bn | 1.79 Bn |
| 7 | Coca-Cola Europacific Partners | 53.25 Bn | 46.47 Bn | - | 8.91 Bn |
| 8 | Keurig Dr Pepper | 49.46 Bn | 48.93 Bn | 3.53 Bn | 18.55 Bn |
| 9 | Ambev | 43.50 Bn | 28.41 Bn | 2.14 Bn | 7.83 Bn |
| 10 | Jones Soda | 30.25 Mn | 15.46 Mn | 4.72 Mn | 15.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.76 Mn |
| Jun 30, 2026 | 12.51 Mn |
| Mar 31, 2026 | 15.28 Mn |
| Dec 31, 2025 | 13.76 Mn |
| Sep 30, 2025 | 8.73 Mn |
| Jun 30, 2025 | 7.60 Mn |
| Mar 31, 2025 | 8.44 Mn |
| Dec 31, 2024 | 6.37 Mn |
| Sep 30, 2024 | 5.09 Mn |
| Jun 30, 2024 | 6.98 Mn |
| Mar 31, 2024 | 4.63 Mn |
| Dec 31, 2023 | 2.36 Mn |
| Sep 30, 2023 | 3.03 Mn |
| Jun 30, 2023 | 2.80 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 3.34 Mn |
| Sep 30, 2022 | 2.60 Mn |
| Jun 30, 2022 | 3.57 Mn |
| Mar 31, 2022 | 6.87 Mn |
| Dec 31, 2021 | 4.49 Mn |
Jones Soda 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=JSDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "JSDA", "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=JSDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();