Johnson Outdoors (JOUT) Goodwill & Intangibles (2010 - 2026)
Johnson Outdoors (JOUT) posted Goodwill & Intangibles of $20.12 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 1.6% from $19.8 million a year earlier and up 1.3% from the prior quarter.
Johnson Outdoors (JOUT) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Johnson Outdoors' Goodwill & Intangibles came in at $19.99 million, up 140.2% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In prior fiscal years, Johnson Outdoors' Goodwill & Intangibles was $8.32 million in FY2024 (-57.6%), $19.64 million in FY2023 (+0.6%), $19.53 million in FY2022 (-1.6%) and $19.85 million in FY2021 (-1.9%).
- Quarterly Goodwill & Intangibles has run from a low of $8.32 million in fiscal Q4 2024 to a high of $20.27 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last seven quarters, with growth averaging 11.3% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q4 2025, with growth of 140.2%; the weakest was fiscal Q4 2024, with a decline of 57.6%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $19.87 million (Q2 2026), $20.27 million (Q1 2026) and $19.99 million (Q4 2025).
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 | 20.12 Mn |
| Apr 3, 2026 | 19.87 Mn |
| Jan 2, 2026 | 20.27 Mn |
| Oct 3, 2025 | 19.99 Mn |
| Jun 27, 2025 | 19.80 Mn |
| Mar 28, 2025 | 19.57 Mn |
| Dec 27, 2024 | 20.23 Mn |
| Sep 27, 2024 | 8.32 Mn |
| Jun 28, 2024 | 19.49 Mn |
| Mar 29, 2024 | 19.54 Mn |
| Dec 29, 2023 | 19.64 Mn |
| Sep 29, 2023 | 19.64 Mn |
| Jun 30, 2023 | 19.63 Mn |
| Mar 31, 2023 | 19.67 Mn |
| Dec 30, 2022 | 19.47 Mn |
| Sep 30, 2022 | 19.53 Mn |
| Jul 1, 2022 | 19.65 Mn |
| Apr 1, 2022 | 19.74 Mn |
| Dec 31, 2021 | 19.79 Mn |
| Oct 1, 2021 | 19.85 Mn |
Johnson Outdoors Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();