Johnson Outdoors (JOUT) Total Non-Current Liabilities (2010 - 2026)
Johnson Outdoors' Total Non-Current Liabilities came in at $185.26 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 19.2% from $155.39 million a year earlier and up 8.7% from the prior quarter.
Johnson Outdoors (JOUT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Johnson Outdoors' Total Non-Current Liabilities was $155 million, up 8.6% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $142.7 million in FY2024 (-9.3%), $157.26 million in FY2023 (-7.7%), $170.45 million in FY2022 (-9.3%) and $187.9 million in FY2021 (+28.4%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities since fiscal Q4 2021.
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2021 (growth of 28.4%), and the weakest in fiscal Q1 2025 (a decline of 10.9%).
- Business Quant data shows JOUT's Total Non-Current Liabilities at $170.4 million (Q2 2026), $156.97 million (Q1 2026) and $155 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.19 Bn | 11.24 Bn | 1.07 Bn | 1.37 Bn |
| 2 | Hasbro | 12.45 Bn | 8.24 Bn | 867.20 Mn | 4.76 Bn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn | 1.53 Bn |
| 4 | Mattel | 3.78 Bn | 452.27 Mn | 542.12 Mn | 3.07 Bn |
| 5 | YETI Holdings | 3.11 Bn | 2.42 Bn | 322.52 Mn | 642.79 Mn |
| 6 | Callaway Golf | 2.53 Bn | -18.69 Mn | 306.70 Mn | 590.50 Mn |
| 7 | Peloton Interactive | 2.21 Bn | -2.41 Bn | 344.40 Mn | 2.16 Bn |
| 8 | Unusual Machines | 1.24 Bn | 781.41 Mn | 5.80 Mn | 2.57 Mn |
| 9 | Sturm Ruger | 673.80 Mn | 277.80 Mn | 33.74 Mn | - |
| 10 | Johnson Outdoors | 463.69 Mn | -126.56 Mn | 85.94 Mn | 185.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 185.26 Mn |
| Apr 3, 2026 | 170.40 Mn |
| Jan 2, 2026 | 156.97 Mn |
| Oct 3, 2025 | 155.00 Mn |
| Jun 27, 2025 | 155.39 Mn |
| Mar 28, 2025 | 155.95 Mn |
| Dec 27, 2024 | 143.92 Mn |
| Sep 27, 2024 | 142.70 Mn |
| Jun 28, 2024 | 153.36 Mn |
| Mar 29, 2024 | 164.41 Mn |
| Dec 29, 2023 | 161.48 Mn |
| Sep 29, 2023 | 157.26 Mn |
| Jun 30, 2023 | 159.73 Mn |
| Mar 31, 2023 | 169.33 Mn |
| Dec 30, 2022 | 172.19 Mn |
| Sep 30, 2022 | 170.45 Mn |
| Jul 1, 2022 | 167.34 Mn |
| Apr 1, 2022 | 166.41 Mn |
| Dec 31, 2021 | 175.90 Mn |
| Oct 1, 2021 | 187.90 Mn |
Johnson Outdoors Total 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=total-non-current-liabilities&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();