Littelfuse (LFUS) Buildings (2011 - 2018)
Littelfuse (LFUS) recorded Buildings of $119.38 million in Q3 2018, up 38.6% from $86.11 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Littelfuse (LFUS) Buildings (2011 - 2018) Analysis & Trends
At the end of FY2017, Littelfuse reported Buildings of $86.6 million, up 7.5% from FY2016.
- Annual Buildings has increased for six straight years, with a five-year compound annual growth rate of 9.7% (FY2012 to FY2017).
- Across earlier years, Buildings came in at $80.55 million in FY2016 (+12.8%), $71.38 million in FY2015 (+10.5%), $64.61 million in FY2014 (+8.2%) and $59.7 million in FY2013 (+9.4%).
- The Q3 2018 figure is the highest quarterly Buildings in data going back to Q4 2010.
- On a year-over-year basis, Buildings has increased for five consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- Peak year-over-year performance for Buildings in the last five years was growth of 43.3% in Q1 2016, against a decline of 10.7% in Q2 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $118.43 million (Q2 2018), $118.17 million (Q1 2018) and $86.6 million (Q4 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 |
|---|---|
| Sep 29, 2018 | 119.38 Mn |
| Jun 30, 2018 | 118.43 Mn |
| Mar 31, 2018 | 118.17 Mn |
| Dec 30, 2017 | 86.60 Mn |
| Sep 30, 2017 | 86.11 Mn |
| Jul 1, 2017 | 84.48 Mn |
| Apr 1, 2017 | 83.06 Mn |
| Dec 31, 2016 | 80.55 Mn |
| Oct 1, 2016 | 83.44 Mn |
| Jul 2, 2016 | 84.46 Mn |
| Apr 2, 2016 | 90.84 Mn |
| Jan 2, 2016 | 71.38 Mn |
| Sep 26, 2015 | 69.42 Mn |
| Jun 27, 2015 | 63.55 Mn |
| Mar 28, 2015 | 63.38 Mn |
| Dec 27, 2014 | 64.61 Mn |
| Sep 27, 2014 | 66.78 Mn |
| Jun 28, 2014 | 71.15 Mn |
| Mar 29, 2014 | 65.40 Mn |
| Dec 28, 2013 | 59.70 Mn |
API Access
Littelfuse Buildings 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=buildings&ticker=LFUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();