Johnson Outdoors (JOUT) Accumulated Expenses (2016 - 2022)
Johnson Outdoors' Accumulated Expenses was $8.09 million in fiscal Q3 2022 (quarter ended Jul 1, 2022), up 29.9% from $6.22 million a year earlier and up 19.5% from the prior quarter.
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Analysis
Johnson Outdoors (JOUT) Accumulated Expenses (2016 - 2022) Analysis & Trends
At the end of FY2021 (ended Oct 1, 2021), Accumulated Expenses at Johnson Outdoors came in at $6.63 million, up 29.7% from FY2020.
- Accumulated Expenses shows a five-year compound annual growth rate of -1.3% (FY2016 to FY2021).
- In earlier fiscal years, Accumulated Expenses was $5.11 million in FY2020 (-31.9%), $7.5 million in FY2019 (unchanged), $7.51 million in FY2018 (+46.1%) and $5.14 million in FY2017 (-27.4%).
- The fiscal Q3 2022 figure marks the highest quarterly Accumulated Expenses since fiscal Q2 2021.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with an average decline of 1.5%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2018 (growth of 46.1%); the worst was fiscal Q4 2020 (a decline of 31.9%).
- Per Business Quant data, JOUT's Accumulated Expenses in the three fiscal quarters before Q3 2022 was $6.77 million (Q2 2022), $6.28 million (Q1 2022) and $6.63 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 17.44 Bn | 15.05 Bn | 1.07 Bn |
| 2 | Hasbro | 16.72 Bn | 11.70 Bn | 1.21 Bn |
| 3 | Acushnet Holdings | 4.78 Bn | 4.51 Bn | 321.99 Mn |
| 4 | Mattel | 4.28 Bn | 952.25 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.43 Bn | 2.89 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.79 Bn | 674.50 Mn | 226.70 Mn |
| 7 | Peloton Interactive | 2.52 Bn | -2.33 Bn | 342.60 Mn |
| 8 | Sturm Ruger | 791.88 Mn | 375.33 Mn | 30.52 Mn |
| 9 | Smith & Wesson Brands | 643.00 Mn | 555.26 Mn | 32.27 Mn |
| 10 | Johnson Outdoors | 497.55 Mn | -92.70 Mn | 85.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2022 | 8.09 Mn |
| Apr 1, 2022 | 6.77 Mn |
| Dec 31, 2021 | 6.28 Mn |
| Oct 1, 2021 | 6.63 Mn |
| Jul 2, 2021 | 6.22 Mn |
| Apr 2, 2021 | 9.41 Mn |
| Jan 1, 2021 | 8.65 Mn |
| Oct 2, 2020 | 5.11 Mn |
| Jun 26, 2020 | 5.75 Mn |
| Mar 27, 2020 | 9.27 Mn |
| Dec 27, 2019 | 8.15 Mn |
| Sep 27, 2019 | 7.50 Mn |
| Jun 28, 2019 | 7.86 Mn |
| Mar 29, 2019 | 9.43 Mn |
| Dec 28, 2018 | 7.51 Mn |
| Sep 28, 2018 | 7.51 Mn |
| Jun 29, 2018 | 6.45 Mn |
| Mar 30, 2018 | 6.66 Mn |
| Dec 29, 2017 | 6.84 Mn |
| Sep 29, 2017 | 5.14 Mn |
API Access
Johnson Outdoors Accumulated 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=accumulated-expenses&ticker=JOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();