Littelfuse (LFUS) Work In Process (2011 - 2018)
Littelfuse's Work In Process was $81.45 million in Q2 2018, up 206.5% from $26.58 million a year earlier but down 15.9% from the prior quarter.
Analysis
Littelfuse (LFUS) Work In Process (2011 - 2018) Analysis & Trends
At the end of FY2017, Work In Process at Littelfuse came in at $27.45 million, up 17.6% from FY2016.
- Work In Process has now increased for three consecutive years, with a five-year compound annual growth rate of 18.3% (FY2012 to FY2017).
- In earlier years, Work In Process was $23.35 million in FY2016 (+41.7%), $16.48 million in FY2015 (+8.7%), $15.16 million in FY2014 (-13.7%) and $17.58 million in FY2013 (+48.1%).
- Quarterly Work In Process has moved between $15.16 million (Q4 2014) and $96.83 million (Q1 2018) over five years.
- Compared with a year earlier, Work In Process has increased for five straight quarters, with growth averaging 78.8% over the last eight quarters.
- The best year-over-year quarter for Work In Process over five years was Q1 2018 (growth of 300.1%); the worst was Q1 2015 (a decline of 16.4%).
- Per Business Quant data, LFUS's Work In Process in the three quarters before Q2 2018 was $96.83 million (Q1 2018), $27.45 million (Q4 2017) and $28.48 million (Q3 2017).
Peer Set
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 | Littelfuse | 10.90 Bn | 8.41 Bn | 306.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 81.45 Mn |
| Mar 31, 2018 | 96.83 Mn |
| Dec 30, 2017 | 27.45 Mn |
| Sep 30, 2017 | 28.48 Mn |
| Jul 1, 2017 | 26.58 Mn |
| Apr 1, 2017 | 24.20 Mn |
| Dec 31, 2016 | 23.35 Mn |
| Oct 1, 2016 | 24.70 Mn |
| Jul 2, 2016 | 24.98 Mn |
| Apr 2, 2016 | 26.20 Mn |
| Jan 2, 2016 | 16.48 Mn |
| Sep 26, 2015 | 16.44 Mn |
| Jun 27, 2015 | 16.40 Mn |
| Mar 28, 2015 | 15.50 Mn |
| Dec 27, 2014 | 15.16 Mn |
| Sep 27, 2014 | 16.81 Mn |
| Jun 28, 2014 | 18.45 Mn |
| Mar 29, 2014 | 18.54 Mn |
| Dec 28, 2013 | 17.58 Mn |
| Sep 28, 2013 | 17.65 Mn |
API Access
Littelfuse Work In Process 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=work-in-process&ticker=LFUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "ticker": "LFUS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=work-in-process&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();