Jones Soda (JSDA) Operating Expenses (2010 - 2025)
Jones Soda's Operating Expenses came in at $2.7 million for Q3 2025, down 19.5% from $3.35 million a year earlier but up 13.1% from the prior quarter.
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Analysis
Jones Soda (JSDA) Operating Expenses (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Jones Soda reported Operating Expenses of $11.24 million, down 10.8% year-over-year; for FY2024, it was $13.97 million, up 43.6% from FY2023.
- Operating Expenses carries a five-year compound annual growth rate of 24.2% (FY2019 to FY2024).
- Going back by year, Operating Expenses was $9.73 million in FY2023 (-13.4%), $11.24 million in FY2022 (+78.2%), $6.31 million in FY2021 (+14.5%) and $5.51 million in FY2020 (+16.3%).
- The five-year range for quarterly Operating Expenses is $1.39 million (Q2 2021) to $3.97 million (Q2 2024).
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 113.6%), and the weakest in Q2 2025 (a decline of 39.9%).
- Business Quant data shows JSDA's Operating Expenses at $2.39 million (Q2 2025), $2.4 million (Q1 2025) and $3.75 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | 1.49 Bn |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 679.19 Mn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | -263.15 Mn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | -1.63 Bn |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Jones Soda | 28.37 Mn | 28.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.70 Mn |
| Jun 30, 2025 | 2.39 Mn |
| Mar 31, 2025 | 2.40 Mn |
| Dec 31, 2024 | 3.75 Mn |
| Sep 30, 2024 | 3.35 Mn |
| Jun 30, 2024 | 3.97 Mn |
| Mar 31, 2024 | 3.04 Mn |
| Dec 31, 2023 | 2.23 Mn |
| Sep 30, 2023 | 2.42 Mn |
| Jun 30, 2023 | 2.59 Mn |
| Mar 31, 2023 | 2.49 Mn |
| Dec 31, 2022 | 2.63 Mn |
| Sep 30, 2022 | 2.98 Mn |
| Jun 30, 2022 | 2.96 Mn |
| Mar 31, 2022 | 2.67 Mn |
| Dec 31, 2021 | 2.05 Mn |
| Sep 30, 2021 | 1.45 Mn |
| Jun 30, 2021 | 1.39 Mn |
| Mar 31, 2021 | 1.42 Mn |
| Dec 31, 2020 | 1.45 Mn |
API Access
Jones Soda Operating 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=operating-expenses&ticker=JSDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JSDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();