Johnson Outdoors (JOUT) Operating Expenses (2010 - 2026)
Johnson Outdoors' Operating Expenses was $67.59 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 11.5% from $60.6 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Johnson Outdoors (JOUT) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Johnson Outdoors' Operating Expenses was $244.55 million through Jul 3, 2026, up 4.2% year-over-year; for FY2025 (ended Oct 3, 2025), it was $224.28 million, down 8.3% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $244.5 million in FY2024 (+5.2%), $232.35 million in FY2023 (+13.3%), $205.02 million in FY2022 (-8.0%) and $222.84 million in FY2021 (+14.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses since fiscal Q4 2024.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 4.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2024 (growth of 32.8%); the worst was fiscal Q3 2022 (a decline of 16.3%).
- Per Business Quant data, JOUT's Operating Expenses in the three fiscal quarters before Q3 2026 was $65.14 million (Q2 2026), $54.52 million (Q1 2026) and $57.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 267.00 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Johnson Outdoors | 463.69 Mn | -126.56 Mn | 85.94 Mn | 67.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 67.59 Mn |
| Apr 3, 2026 | 65.14 Mn |
| Jan 2, 2026 | 54.52 Mn |
| Oct 3, 2025 | 57.30 Mn |
| Jun 27, 2025 | 60.60 Mn |
| Mar 28, 2025 | 53.97 Mn |
| Dec 27, 2024 | 52.42 Mn |
| Sep 27, 2024 | 67.68 Mn |
| Jun 28, 2024 | 62.33 Mn |
| Mar 29, 2024 | 61.68 Mn |
| Dec 29, 2023 | 52.81 Mn |
| Sep 29, 2023 | 50.95 Mn |
| Jun 30, 2023 | 60.14 Mn |
| Mar 31, 2023 | 63.95 Mn |
| Dec 30, 2022 | 57.31 Mn |
| Sep 30, 2022 | 55.29 Mn |
| Jul 1, 2022 | 49.71 Mn |
| Apr 1, 2022 | 53.16 Mn |
| Dec 31, 2021 | 46.87 Mn |
| Oct 1, 2021 | 54.74 Mn |
API Access
Johnson Outdoors 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=JOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "JOUT", "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=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();