Littelfuse (LFUS) Finished Goods (2011 - 2018)
Littelfuse's Finished Goods was $92.15 million in Q2 2018, up 47.3% from $62.56 million a year earlier but down 8.7% from the prior quarter.
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Analysis
Littelfuse (LFUS) Finished Goods (2011 - 2018) Analysis & Trends
At the end of FY2017, Finished Goods at Littelfuse came in at $74.31 million, up 27.1% from FY2016.
- Finished Goods shows a five-year compound annual growth rate of 12.1% (FY2012 to FY2017).
- In earlier years, Finished Goods was $58.48 million in FY2016 (+20.4%), $48.55 million in FY2015 (-7.5%), $52.47 million in FY2014 (+12.1%) and $46.79 million in FY2013 (+11.3%).
- Quarterly Finished Goods has moved between $35.33 million (Q3 2013) and $100.88 million (Q1 2018) over five years.
- Compared with a year earlier, Finished Goods has increased for five straight quarters, with growth averaging 23.5% over the last eight quarters.
- The best year-over-year quarter for Finished Goods over five years was Q1 2018 (growth of 65.1%); the worst was Q3 2013 (a decline of 14.3%).
- Per Business Quant data, LFUS's Finished Goods in the three quarters before Q2 2018 was $100.88 million (Q1 2018), $74.31 million (Q4 2017) and $69.71 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 | 92.15 Mn |
| Mar 31, 2018 | 100.88 Mn |
| Dec 30, 2017 | 74.31 Mn |
| Sep 30, 2017 | 69.71 Mn |
| Jul 1, 2017 | 62.56 Mn |
| Apr 1, 2017 | 61.11 Mn |
| Dec 31, 2016 | 58.48 Mn |
| Oct 1, 2016 | 61.46 Mn |
| Jul 2, 2016 | 61.98 Mn |
| Apr 2, 2016 | 70.19 Mn |
| Jan 2, 2016 | 48.55 Mn |
| Sep 26, 2015 | 48.53 Mn |
| Jun 27, 2015 | 48.14 Mn |
| Mar 28, 2015 | 47.46 Mn |
| Dec 27, 2014 | 52.47 Mn |
| Sep 27, 2014 | 51.46 Mn |
| Jun 28, 2014 | 49.62 Mn |
| Mar 29, 2014 | 50.89 Mn |
| Dec 28, 2013 | 46.79 Mn |
| Sep 28, 2013 | 35.33 Mn |
API Access
Littelfuse 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=LFUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();