Johnson Outdoors (JOUT) Other Operating Expenses (2010 - 2026)
Johnson Outdoors' Other Operating Expenses was $50.49 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 11.8% from $45.17 million a year earlier but down 2.6% from the prior quarter.
Johnson Outdoors (JOUT) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Johnson Outdoors' Other Operating Expenses was $184.5 million through Jul 3, 2026, up 10.5% year-over-year; for FY2025 (ended Oct 3, 2025), it came in at $165.58 million, down 5.8% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier fiscal years, Other Operating Expenses was $175.69 million in FY2024 (+6.1%), $165.63 million in FY2023 (+5.4%), $157.19 million in FY2022 (-5.4%) and $166.24 million in FY2021 (+14.4%).
- Quarterly Other Operating Expenses has moved between $34.64 million (fiscal Q1 2022) and $51.83 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for three straight quarters, with growth averaging 3.8% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q2 2026 (growth of 21.3%); the worst was fiscal Q2 2025 (a decline of 10.5%).
- Per Business Quant data, JOUT's Other Operating Expenses in the three fiscal quarters before Q3 2026 was $51.83 million (Q2 2026), $41.37 million (Q1 2026) and $40.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn |
| 5 | YETI Holdings | 3.26 Bn | 2.57 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.71 Bn | 164.37 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn |
| 8 | Unusual Machines | 742.78 Mn | 279.27 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 699.88 Mn | 303.88 Mn | 33.74 Mn |
| 10 | Johnson Outdoors | 473.49 Mn | -116.76 Mn | 85.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 41.81 Mn |
| Apr 3, 2026 | 43.27 Mn |
| Jan 2, 2026 | 33.50 Mn |
| Oct 3, 2025 | 31.87 Mn |
| Jun 27, 2025 | 37.55 Mn |
| Mar 28, 2025 | 34.64 Mn |
| Dec 27, 2024 | 30.38 Mn |
| Sep 27, 2024 | 44.70 Mn |
| Jun 28, 2024 | 41.11 Mn |
| Mar 29, 2024 | 39.59 Mn |
| Dec 29, 2023 | 30.34 Mn |
| Sep 29, 2023 | 30.86 Mn |
| Jun 30, 2023 | 39.50 Mn |
| Mar 31, 2023 | 40.58 Mn |
| Dec 30, 2022 | 33.50 Mn |
| Sep 30, 2022 | 35.15 Mn |
| Jul 1, 2022 | 34.82 Mn |
| Apr 1, 2022 | 35.69 Mn |
| Dec 31, 2021 | 28.23 Mn |
| Oct 1, 2021 | 34.85 Mn |
Johnson Outdoors Other 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=other-operating-expenses&ticker=JOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();