Johnson Outdoors (JOUT) Finished Goods (2011 - 2017)
Johnson Outdoors' Finished Goods was $42.51 million in fiscal Q2 2017 (quarter ended Mar 31, 2017), down 24.9% from $56.59 million a year earlier and down 0.1% from the prior quarter.
Johnson Outdoors (JOUT) Finished Goods (2011 - 2017) Analysis & Trends
At the end of FY2016 (ended Sep 30, 2016), Finished Goods at Johnson Outdoors came in at $41.98 million, down 7.1% from FY2015.
- Finished Goods shows a five-year compound annual growth rate of -0.2% (FY2011 to FY2016).
- In earlier fiscal years, Finished Goods was $45.18 million in FY2015 (+15.9%), $38.97 million in FY2014 (-19.2%), $48.23 million in FY2013 (+23.3%) and $39.12 million in FY2012 (-7.8%).
- Quarterly Finished Goods has moved between $38.97 million (fiscal Q4 2014) and $58.2 million (fiscal Q1 2016) over five years.
- Compared with a year earlier, Finished Goods has declined for four straight quarters, with growth averaging 1.0% over the last eight quarters.
- The best year-over-year quarter for Finished Goods over five years was fiscal Q2 2016 (growth of 25.8%); the worst was fiscal Q1 2017 (a decline of 26.9%).
- Per Business Quant data, JOUT's Finished Goods in the three fiscal quarters before Q2 2017 was $42.56 million (Q1 2017), $41.98 million (Q4 2016) and $46.51 million (Q3 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn |
| 10 | Johnson Outdoors | 463.69 Mn | -126.56 Mn | 85.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 42.51 Mn |
| Dec 30, 2016 | 42.56 Mn |
| Sep 30, 2016 | 41.98 Mn |
| Jul 1, 2016 | 46.51 Mn |
| Apr 1, 2016 | 56.59 Mn |
| Jan 1, 2016 | 58.20 Mn |
| Oct 2, 2015 | 45.18 Mn |
| Jul 3, 2015 | 47.35 Mn |
| Apr 3, 2015 | 44.98 Mn |
| Jan 2, 2015 | 47.43 Mn |
| Oct 3, 2014 | 38.97 Mn |
| Jun 27, 2014 | 45.50 Mn |
| Mar 28, 2014 | 52.01 Mn |
| Dec 27, 2013 | 53.53 Mn |
| Sep 27, 2013 | 48.23 Mn |
| Jun 28, 2013 | 48.47 Mn |
| Mar 29, 2013 | 54.93 Mn |
| Dec 28, 2012 | 45.84 Mn |
| Sep 28, 2012 | 39.12 Mn |
| Jun 29, 2012 | 43.53 Mn |
Johnson Outdoors Finished Goods 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=finished-goods&ticker=JOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=JOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();