Johnson Outdoors (JOUT) Non Operating Interest Expenses (2010 - 2026)
Johnson Outdoors (JOUT) reported Non Operating Interest Expenses of $50,000 for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 2.0% from $49,000 a year earlier and up 4.2% from the prior quarter.
Johnson Outdoors (JOUT) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Johnson Outdoors' Non Operating Interest Expenses came in at $215,000, up 7.0% year-over-year; for FY2025 (ended Oct 3, 2025), it came in at $224,000, up 47.4% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- By fiscal year, Non Operating Interest Expenses came in at $152,000 in FY2024 (unchanged), $152,000 in FY2023 (-0.7%), $153,000 in FY2022 (+5.5%) and $145,000 in FY2021 (+1.4%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $30,000 in fiscal Q3 2022 and a high of $68,000 in fiscal Q2 2025.
- Year over year, Non Operating Interest Expenses gained in six of the last eight quarters, with growth averaging 22.4%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q2 2025 (growth of 70.0%); the low point was fiscal Q2 2026 (a decline of 29.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $48,000 (Q2 2026), $57,000 (Q1 2026) and $60,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn | -20.00 Mn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn | 46.50 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn | - |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn | 31.76 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 | 4.60 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn | 30.00 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn | 281.00 |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn | 23,000.00 |
| 10 | Johnson Outdoors | 457.51 Mn | -132.74 Mn | 85.94 Mn | 50,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 50,000.00 |
| Apr 3, 2026 | 48,000.00 |
| Jan 2, 2026 | 57,000.00 |
| Oct 3, 2025 | 60,000.00 |
| Jun 27, 2025 | 49,000.00 |
| Mar 28, 2025 | 68,000.00 |
| Dec 27, 2024 | 47,000.00 |
| Sep 27, 2024 | 37,000.00 |
| Jun 28, 2024 | 37,000.00 |
| Mar 29, 2024 | 40,000.00 |
| Dec 29, 2023 | 38,000.00 |
| Sep 29, 2023 | 38,000.00 |
| Jun 30, 2023 | 39,000.00 |
| Mar 31, 2023 | 38,000.00 |
| Dec 30, 2022 | 37,000.00 |
| Sep 30, 2022 | 36,000.00 |
| Jul 1, 2022 | 30,000.00 |
| Apr 1, 2022 | 49,000.00 |
| Dec 31, 2021 | 38,000.00 |
| Oct 1, 2021 | 43,000.00 |
Johnson Outdoors Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();