Johnson Outdoors (JOUT) Total Liabilities (2010 - 2026)
Johnson Outdoors (JOUT) recorded Total Liabilities of $217.74 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 18.3% from $184.01 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Johnson Outdoors (JOUT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Johnson Outdoors reported Total Liabilities of $185.68 million, up 8.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $171.79 million in FY2024 (-5.5%), $181.87 million in FY2023 (-5.2%), $191.92 million in FY2022 (-11.1%) and $215.78 million in FY2021 (+28.5%).
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities in data going back to fiscal Q3 2010.
- On a year-over-year basis, Total Liabilities has increased for five consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 28.5% in fiscal Q4 2021, against a decline of 11.1% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $199.39 million (Q2 2026), $186.58 million (Q1 2026) and $185.68 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn | 5.47 Bn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn | 3.36 Bn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn | 1.65 Bn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | 4.36 Bn |
| 5 | YETI Holdings | 3.26 Bn | 2.57 Bn | 322.52 Mn | 692.22 Mn |
| 6 | Callaway Golf | 2.71 Bn | 164.37 Mn | 306.70 Mn | 620.50 Mn |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn | 2.20 Bn |
| 8 | Unusual Machines | 742.78 Mn | 279.27 Mn | 5.80 Mn | 9.45 Mn |
| 9 | Sturm Ruger | 699.88 Mn | 303.88 Mn | 33.74 Mn | 74.49 Mn |
| 10 | Johnson Outdoors | 473.49 Mn | -116.76 Mn | 85.94 Mn | 217.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 217.74 Mn |
| Apr 3, 2026 | 199.39 Mn |
| Jan 2, 2026 | 186.58 Mn |
| Oct 3, 2025 | 185.68 Mn |
| Jun 27, 2025 | 184.01 Mn |
| Mar 28, 2025 | 183.37 Mn |
| Dec 27, 2024 | 172.58 Mn |
| Sep 27, 2024 | 171.79 Mn |
| Jun 28, 2024 | 181.16 Mn |
| Mar 29, 2024 | 191.59 Mn |
| Dec 29, 2023 | 188.81 Mn |
| Sep 29, 2023 | 181.87 Mn |
| Jun 30, 2023 | 185.04 Mn |
| Mar 31, 2023 | 193.48 Mn |
| Dec 30, 2022 | 194.88 Mn |
| Sep 30, 2022 | 191.92 Mn |
| Jul 1, 2022 | 191.58 Mn |
| Apr 1, 2022 | 194.20 Mn |
| Dec 31, 2021 | 205.74 Mn |
| Oct 1, 2021 | 215.78 Mn |
API Access
Johnson Outdoors Total 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-liabilities&ticker=JOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();