Johnson Outdoors (JOUT) Other Non-Current Liabilities (2010 - 2026)
Johnson Outdoors (JOUT) recorded Other Non-Current Liabilities of $32.48 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 13.5% from $28.62 million a year earlier and up 12.0% from the prior quarter.
Johnson Outdoors (JOUT) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Johnson Outdoors reported Other Non-Current Liabilities of $30.68 million, up 5.5% from FY2024.
- Annual Other Non-Current Liabilities has increased for three straight fiscal years, with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $29.09 million in FY2024 (+18.2%), $24.61 million in FY2023 (+14.6%), $21.47 million in FY2022 (-23.0%) and $27.89 million in FY2021 (+29.2%).
- The fiscal Q3 2026 figure is the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q3 2010.
- On a year-over-year basis, Other Non-Current Liabilities has increased for 13 consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 29.2% in fiscal Q4 2021, against a decline of 24.0% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $28.99 million (Q2 2026), $29.61 million (Q1 2026) and $30.68 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 | 32.48 Mn |
| Apr 3, 2026 | 28.99 Mn |
| Jan 2, 2026 | 29.61 Mn |
| Oct 3, 2025 | 30.68 Mn |
| Jun 27, 2025 | 28.62 Mn |
| Mar 28, 2025 | 27.43 Mn |
| Dec 27, 2024 | 28.67 Mn |
| Sep 27, 2024 | 29.09 Mn |
| Jun 28, 2024 | 27.80 Mn |
| Mar 29, 2024 | 27.18 Mn |
| Dec 29, 2023 | 27.34 Mn |
| Sep 29, 2023 | 24.61 Mn |
| Jun 30, 2023 | 25.31 Mn |
| Mar 31, 2023 | 24.15 Mn |
| Dec 30, 2022 | 22.68 Mn |
| Sep 30, 2022 | 21.47 Mn |
| Jul 1, 2022 | 24.24 Mn |
| Apr 1, 2022 | 27.79 Mn |
| Dec 31, 2021 | 29.84 Mn |
| Oct 1, 2021 | 27.89 Mn |
Johnson Outdoors Other Non-Current Liabilities 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-non-current-liabilities&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();