Johnson Outdoors (JOUT) Other Accumulated Expenses (2010 - 2026)
Johnson Outdoors' Other Accumulated Expenses came in at $11.14 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 13.9% from $9.78 million a year earlier but down 8.7% from the prior quarter.
Johnson Outdoors (JOUT) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Johnson Outdoors' Other Accumulated Expenses was $10.3 million, down 1.7% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Going back by fiscal year, Other Accumulated Expenses was $10.48 million in FY2024 (+9.5%), $9.57 million in FY2023 (-5.5%), $10.12 million in FY2022 (-8.4%) and $11.05 million in FY2021 (-2.6%).
- The five-year range for quarterly Other Accumulated Expenses is $8.1 million (fiscal Q1 2022) to $14.95 million (fiscal Q1 2023).
- Year-over-year, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q1 2023 (growth of 84.5%), and the weakest in fiscal Q1 2024 (a decline of 27.2%).
- Business Quant data shows JOUT's Other Accumulated Expenses at $12.19 million (Q2 2026), $10.76 million (Q1 2026) and $10.3 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn |
| 10 | Johnson Outdoors | 470.71 Mn | -119.54 Mn | 85.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 11.14 Mn |
| Apr 3, 2026 | 12.19 Mn |
| Jan 2, 2026 | 10.76 Mn |
| Oct 3, 2025 | 10.30 Mn |
| Jun 27, 2025 | 9.78 Mn |
| Mar 28, 2025 | 10.66 Mn |
| Dec 27, 2024 | 9.91 Mn |
| Sep 27, 2024 | 10.48 Mn |
| Jun 28, 2024 | 11.18 Mn |
| Mar 29, 2024 | 12.01 Mn |
| Dec 29, 2023 | 10.88 Mn |
| Sep 29, 2023 | 9.57 Mn |
| Jun 30, 2023 | 10.21 Mn |
| Mar 31, 2023 | 13.59 Mn |
| Dec 30, 2022 | 14.95 Mn |
| Sep 30, 2022 | 10.12 Mn |
| Jul 1, 2022 | 10.01 Mn |
| Apr 1, 2022 | 9.85 Mn |
| Dec 31, 2021 | 8.10 Mn |
| Oct 1, 2021 | 11.05 Mn |
Johnson Outdoors Other 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=other-accumulated-expenses&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();