Johnson Outdoors (JOUT) Shares Outstanding (Diluted) (2010 - 2026)
Johnson Outdoors (JOUT) recorded Weighted Average Shares Outstanding (Diluted) of 10.39 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 0.9% from 10.29 million a year earlier and unchanged from the prior quarter.
Johnson Outdoors (JOUT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025 (ended Oct 3, 2025), Johnson Outdoors reported Weighted Average Shares Outstanding (Diluted) of 10.26 million, up 0.4% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for 15 straight fiscal years, with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- Across earlier fiscal years, Weighted Average Shares Outstanding (Diluted) came in at 10.22 million in FY2024 (+0.3%), 10.2 million in FY2023 (+0.4%), 10.15 million in FY2022 (+0.3%) and 10.12 million in FY2021 (+0.6%).
- The fiscal Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to fiscal Q3 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 38 consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- Per Business Quant, the preceding three fiscal quarters came in at 10.38 million (Q2 2026), 10.34 million (Q1 2026) and 10.26 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.44 Bn | 15.05 Bn | 1.07 Bn | 563.08 Mn |
| 2 | Hasbro | 16.72 Bn | 11.70 Bn | 1.21 Bn | 142.50 Mn |
| 3 | Acushnet Holdings | 4.78 Bn | 4.51 Bn | 321.99 Mn | 59.48 Mn |
| 4 | Mattel | 4.28 Bn | 952.25 Mn | 542.12 Mn | 288.93 Mn |
| 5 | YETI Holdings | 3.43 Bn | 2.89 Bn | 322.52 Mn | 75.78 Mn |
| 6 | Callaway Golf | 2.79 Bn | 674.50 Mn | 226.70 Mn | 183.30 Mn |
| 7 | Peloton Interactive | 2.52 Bn | -2.33 Bn | 342.60 Mn | 525.44 Mn |
| 8 | Sturm Ruger | 791.88 Mn | 375.33 Mn | 30.52 Mn | 16.30 Mn |
| 9 | Smith & Wesson Brands | 643.00 Mn | 555.26 Mn | 32.27 Mn | 45.48 Mn |
| 10 | Johnson Outdoors | 497.55 Mn | -92.70 Mn | 85.94 Mn | 10.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 10.39 Mn |
| Apr 3, 2026 | 10.38 Mn |
| Jan 2, 2026 | 10.34 Mn |
| Oct 3, 2025 | 10.26 Mn |
| Jun 27, 2025 | 10.29 Mn |
| Mar 28, 2025 | 10.27 Mn |
| Dec 27, 2024 | 10.27 Mn |
| Sep 27, 2024 | 10.22 Mn |
| Jun 28, 2024 | 10.25 Mn |
| Mar 29, 2024 | 10.23 Mn |
| Dec 29, 2023 | 10.22 Mn |
| Sep 29, 2023 | 10.20 Mn |
| Jun 30, 2023 | 10.21 Mn |
| Mar 31, 2023 | 10.20 Mn |
| Dec 30, 2022 | 10.17 Mn |
| Sep 30, 2022 | 10.15 Mn |
| Jul 1, 2022 | 10.16 Mn |
| Apr 1, 2022 | 10.15 Mn |
| Dec 31, 2021 | 10.14 Mn |
| Oct 1, 2021 | 10.12 Mn |
Johnson Outdoors Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();