Clearfield (CLFD) Finished Goods (2011 - 2020)
Clearfield's Finished Goods came in at $2.16 million for fiscal Q3 2020 (quarter ended Jun 30, 2020), up 5.3% from $2.05 million a year earlier and up 10.6% from the prior quarter.
Clearfield (CLFD) Finished Goods (2011 - 2020) Analysis & Trends
At the end of FY2019 (ended Sep 30, 2019), Clearfield's Finished Goods was $1.36 million, down 61.0% from FY2018.
- Finished Goods carries a five-year compound annual growth rate of -0.2% (FY2014 to FY2019).
- Going back by fiscal year, Finished Goods was $3.48 million in FY2018 (+100.1%), $1.74 million in FY2017 (-21.0%), $2.2 million in FY2016 (+6.7%) and $2.06 million in FY2015 (+50.6%).
- The fiscal Q3 2020 figure represents the highest quarterly Finished Goods since fiscal Q1 2019.
- Year-over-year, Finished Goods increased in four of the last eight quarters, with an average decline of 1.9%.
- The fastest year-over-year change in Finished Goods over five years came in fiscal Q3 2018 (growth of 137.8%), and the weakest in fiscal Q2 2019 (a decline of 61.4%).
- Business Quant data shows CLFD's Finished Goods at $1.95 million (Q2 2020), $1.47 million (Q1 2020) and $1.36 million (Q4 2019) in the three fiscal quarters before Q3 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Clearfield | 416.91 Mn | 22.20 Mn | 13.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 2.16 Mn |
| Mar 31, 2020 | 1.95 Mn |
| Dec 31, 2019 | 1.47 Mn |
| Sep 30, 2019 | 1.36 Mn |
| Jun 30, 2019 | 2.05 Mn |
| Mar 31, 2019 | 1.81 Mn |
| Dec 31, 2018 | 3.32 Mn |
| Sep 30, 2018 | 3.48 Mn |
| Jun 30, 2018 | 3.78 Mn |
| Mar 31, 2018 | 4.67 Mn |
| Dec 31, 2017 | 1.70 Mn |
| Sep 30, 2017 | 1.74 Mn |
| Jun 30, 2017 | 1.59 Mn |
| Mar 31, 2017 | 2.17 Mn |
| Dec 31, 2016 | 2.07 Mn |
| Sep 30, 2016 | 2.20 Mn |
| Jun 30, 2016 | 1.84 Mn |
| Mar 31, 2016 | 1.98 Mn |
| Dec 31, 2015 | 1.83 Mn |
| Sep 30, 2015 | 2.06 Mn |
Clearfield 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=CLFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "CLFD", "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=CLFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();