Jones Soda (JSDA) Accumulated Expenses (2009 - 2026)
Jones Soda (JSDA) recorded Accumulated Expenses of $5.47 million in Q3 2026, up 338.8% from $1.25 million a year earlier and up 62.0% from the prior quarter.
Jones Soda (JSDA) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Soda reported Accumulated Expenses of $3.96 million, up 60.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 35.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $2.46 million in FY2024 (+92.0%), $1.28 million in FY2023 (-22.0%), $1.64 million in FY2022 (+2.8%) and $1.6 million in FY2021 (+87.5%).
- The Q3 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q1 2009.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 80.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 338.8% in Q3 2026, against a decline of 47.0% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.38 million (Q2 2026), $4.27 million (Q1 2026) and $3.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 426.96 Bn | 415.44 Bn | 8.45 Bn |
| 2 | Diageo | 247.11 Bn | 229.26 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 |
| 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 |
| 7 | Coca-Cola Europacific Partners | 53.25 Bn | 46.47 Bn | - |
| 8 | Keurig Dr Pepper | 49.46 Bn | 48.93 Bn | 3.53 Bn |
| 9 | Ambev | 43.50 Bn | 28.41 Bn | 2.14 Bn |
| 10 | Jones Soda | 30.25 Mn | 15.46 Mn | 4.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.47 Mn |
| Jun 30, 2026 | 3.38 Mn |
| Mar 31, 2026 | 4.27 Mn |
| Dec 31, 2025 | 3.96 Mn |
| Sep 30, 2025 | 1.25 Mn |
| Jun 30, 2025 | 1.63 Mn |
| Mar 31, 2025 | 1.85 Mn |
| Dec 31, 2024 | 2.46 Mn |
| Sep 30, 2024 | 2.35 Mn |
| Jun 30, 2024 | 2.40 Mn |
| Mar 31, 2024 | 2.01 Mn |
| Dec 31, 2023 | 1.28 Mn |
| Sep 30, 2023 | 1.99 Mn |
| Jun 30, 2023 | 1.56 Mn |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 1.64 Mn |
| Sep 30, 2022 | 1.50 Mn |
| Jun 30, 2022 | 1.53 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 1.60 Mn |
Jones Soda Accumulated Expenses 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=accumulated-expenses&ticker=JSDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=JSDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();