Johnson Outdoors (JOUT) Other Operating Expenses (2010 - 2026)
Johnson Outdoors (JOUT) reported Other Operating Expenses of $41.81 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 11.3% from $37.55 million a year earlier but down 3.4% from the prior quarter.
Johnson Outdoors (JOUT) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Johnson Outdoors' Other Operating Expenses came in at $150.46 million, up 2.2% year-over-year; for FY2025 (ended Oct 3, 2025), it came in at $134.46 million, down 13.7% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- By fiscal year, Other Operating Expenses came in at $155.74 million in FY2024 (+7.8%), $144.45 million in FY2023 (+7.9%), $133.89 million in FY2022 (-5.1%) and $141.06 million in FY2021 (+16.1%).
- Five-year quarterly Other Operating Expenses spans a low of $28.23 million in fiscal Q1 2022 and a high of $44.7 million in fiscal Q4 2024.
- Year over year, Other Operating Expenses has now increased in each of the last three quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q4 2024 (growth of 44.8%); the low point was fiscal Q4 2025 (a decline of 28.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $43.27 million (Q2 2026), $33.5 million (Q1 2026) and $31.87 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn |
| 10 | Johnson Outdoors | 457.51 Mn | -132.74 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();