Johnson Outdoors (JOUT) Depreciation and Depletion (2010 - 2026)
Johnson Outdoors (JOUT) recorded Depreciation and Depletion of $4.76 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), down 6.8% from $5.11 million a year earlier and down 1.6% from the prior quarter.
Johnson Outdoors (JOUT) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Johnson Outdoors' Depreciation and Depletion came in at $19.72 million as of Jul 3, 2026, up 0.6% year-over-year; for FY2025 (ended Oct 3, 2025), it came in at $20.04 million, up 4.0% from FY2024.
- Annual Depreciation and Depletion has increased for five straight fiscal years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Across earlier fiscal years, Depreciation and Depletion came in at $19.27 million in FY2024 (+20.4%), $16.01 million in FY2023 (+14.5%), $13.97 million in FY2022 (+7.7%) and $12.98 million in FY2021 (+3.1%).
- The fiscal Q3 2026 figure is the lowest quarterly Depreciation and Depletion since fiscal Q1 2025.
- On a year-over-year basis, Depreciation and Depletion rose in five of the last eight quarters, with growth averaging 2.2%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 33.8% in fiscal Q1 2024, against a decline of 6.8% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.84 million (Q2 2026), $4.94 million (Q1 2026) and $5.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | - |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 17.40 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | - |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 33.89 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | 9.30 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | - |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 6.17 Mn |
| 10 | Johnson Outdoors | 470.71 Mn | -119.54 Mn | 85.94 Mn | 4.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 4.76 Mn |
| Apr 3, 2026 | 4.84 Mn |
| Jan 2, 2026 | 4.94 Mn |
| Oct 3, 2025 | 5.17 Mn |
| Jun 27, 2025 | 5.11 Mn |
| Mar 28, 2025 | 5.09 Mn |
| Dec 27, 2024 | 4.68 Mn |
| Sep 27, 2024 | 4.72 Mn |
| Jun 28, 2024 | 4.77 Mn |
| Mar 29, 2024 | 4.84 Mn |
| Dec 29, 2023 | 4.95 Mn |
| Sep 29, 2023 | 4.40 Mn |
| Jun 30, 2023 | 3.91 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 30, 2022 | 3.70 Mn |
| Sep 30, 2022 | 3.73 Mn |
| Jul 1, 2022 | 3.45 Mn |
| Apr 1, 2022 | 3.36 Mn |
| Dec 31, 2021 | 3.43 Mn |
| Oct 1, 2021 | 3.32 Mn |
Johnson Outdoors Depreciation and Depletion 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=depreciation-and-depletion&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();