Johnson Outdoors (JOUT) Total Current Liabilities (2010 - 2026)
Johnson Outdoors (JOUT) posted Total Current Liabilities of $132.95 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 25.9% from $105.56 million a year earlier and up 8.3% from the prior quarter.
Johnson Outdoors (JOUT) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Johnson Outdoors' Total Current Liabilities came in at $104.64 million, up 15.7% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In prior fiscal years, Johnson Outdoors' Total Current Liabilities was $90.44 million in FY2024 (-13.0%), $104.01 million in FY2023 (-9.3%), $114.71 million in FY2022 (-16.6%) and $137.57 million in FY2021 (+30.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Current Liabilities since fiscal Q4 2021.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last five quarters, with growth averaging 6.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q4 2021, with growth of 30.3%; the weakest was fiscal Q4 2022, with a decline of 16.6%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $122.78 million (Q2 2026), $108.2 million (Q1 2026) and $104.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn | 2.31 Bn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn | 1.97 Bn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn | 497.77 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | 1.29 Bn |
| 5 | YETI Holdings | 3.26 Bn | 2.57 Bn | 322.52 Mn | 409.59 Mn |
| 6 | Callaway Golf | 2.71 Bn | 164.37 Mn | 306.70 Mn | 409.90 Mn |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn | 525.00 Mn |
| 8 | Unusual Machines | 742.78 Mn | 279.27 Mn | 5.80 Mn | 6.89 Mn |
| 9 | Sturm Ruger | 699.88 Mn | 303.88 Mn | 33.74 Mn | 71.43 Mn |
| 10 | Johnson Outdoors | 473.49 Mn | -116.76 Mn | 85.94 Mn | 132.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 132.95 Mn |
| Apr 3, 2026 | 122.78 Mn |
| Jan 2, 2026 | 108.20 Mn |
| Oct 3, 2025 | 104.64 Mn |
| Jun 27, 2025 | 105.56 Mn |
| Mar 28, 2025 | 104.83 Mn |
| Dec 27, 2024 | 91.66 Mn |
| Sep 27, 2024 | 90.44 Mn |
| Jun 28, 2024 | 99.29 Mn |
| Mar 29, 2024 | 108.53 Mn |
| Dec 29, 2023 | 104.07 Mn |
| Sep 29, 2023 | 104.01 Mn |
| Jun 30, 2023 | 106.67 Mn |
| Mar 31, 2023 | 115.61 Mn |
| Dec 30, 2022 | 117.44 Mn |
| Sep 30, 2022 | 114.71 Mn |
| Jul 1, 2022 | 117.03 Mn |
| Apr 1, 2022 | 119.11 Mn |
| Dec 31, 2021 | 128.00 Mn |
| Oct 1, 2021 | 137.57 Mn |
Johnson Outdoors Total 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-current-liabilities&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();