Johnson Outdoors (JOUT) Enterprise Value (2010 - 2026)
Johnson Outdoors' Enterprise Value was $280.48 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 96.9% from $142.47 million a year earlier but down 26.2% from the prior quarter.
Johnson Outdoors (JOUT) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Johnson Outdoors' Enterprise Value was -$134.52 million through Jul 3, 2026; for FY2025 (ended Oct 3, 2025), it came in at $256.77 million, up 20.2% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of -17.1% (FY2020 to FY2025).
- In earlier fiscal years, Enterprise Value was $213.56 million in FY2024 (-49.4%), $422.01 million in FY2023 (+7.3%), $393.15 million in FY2022 (-54.8%) and $870.2 million in FY2021 (+32.5%).
- Quarterly Enterprise Value has moved between $142.47 million (fiscal Q3 2025) and $870.2 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Enterprise Value has increased for four straight quarters, with growth averaging 11.6% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q2 2026 (growth of 131.2%); the worst was fiscal Q2 2025 (a decline of 58.0%).
- Per Business Quant data, JOUT's Enterprise Value in the three fiscal quarters before Q3 2026 was $379.83 million (Q2 2026), $321.78 million (Q1 2026) and $256.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn |
| 5 | YETI Holdings | 3.26 Bn | 2.57 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.71 Bn | 164.37 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn |
| 8 | Unusual Machines | 742.78 Mn | 279.27 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 699.88 Mn | 303.88 Mn | 33.74 Mn |
| 10 | Johnson Outdoors | 473.49 Mn | -116.76 Mn | 85.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 280.48 Mn |
| Apr 3, 2026 | 379.83 Mn |
| Jan 2, 2026 | 321.78 Mn |
| Oct 3, 2025 | 256.77 Mn |
| Jun 27, 2025 | 142.47 Mn |
| Mar 28, 2025 | 164.27 Mn |
| Dec 27, 2024 | 251.79 Mn |
| Sep 27, 2024 | 213.56 Mn |
| Jun 28, 2024 | 212.08 Mn |
| Mar 29, 2024 | 390.72 Mn |
| Dec 29, 2023 | 439.82 Mn |
| Sep 29, 2023 | 422.01 Mn |
| Jun 30, 2023 | 480.67 Mn |
| Mar 31, 2023 | 538.51 Mn |
| Dec 30, 2022 | 573.73 Mn |
| Sep 30, 2022 | 393.15 Mn |
| Jul 1, 2022 | 511.54 Mn |
| Apr 1, 2022 | 692.73 Mn |
| Dec 31, 2021 | 784.14 Mn |
| Oct 1, 2021 | 870.20 Mn |
Johnson Outdoors Enterprise Value 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=enterprise-value&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();