Littelfuse (LFUS) Land & Improvements (2011 - 2018)
Littelfuse's Land & Improvements was $29.2 million in Q2 2018, up 201.3% from $9.69 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Littelfuse (LFUS) Land & Improvements (2011 - 2018) Analysis & Trends
At the end of FY2017, Land & Improvements at Littelfuse came in at $9.55 million, up 3.0% from FY2016.
- Land & Improvements shows a five-year compound annual growth rate of 8.9% (FY2012 to FY2017).
- In earlier years, Land & Improvements was $9.27 million in FY2016 (+77.0%), $5.24 million in FY2015 (-8.1%), $5.7 million in FY2014 (+30.0%) and $4.38 million in FY2013 (-29.8%).
- Quarterly Land & Improvements has moved between $4.08 million (Q3 2013) and $29.58 million (Q1 2018) over five years.
- Compared with a year earlier, Land & Improvements has increased for three straight quarters, with growth averaging 67.6% over the last eight quarters.
- The best year-over-year quarter for Land & Improvements over five years was Q1 2018 (growth of 206.6%); the worst was Q3 2013 (a decline of 34.5%).
- Per Business Quant data, LFUS's Land & Improvements in the three quarters before Q2 2018 was $29.58 million (Q1 2018), $9.55 million (Q4 2017) and $9.69 million (Q3 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | - |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | - |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | - |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | - |
| 10 | Littelfuse | 10.76 Bn | 8.27 Bn | 306.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 29.20 Mn |
| Mar 31, 2018 | 29.58 Mn |
| Dec 30, 2017 | 9.55 Mn |
| Sep 30, 2017 | 9.69 Mn |
| Jul 1, 2017 | 9.69 Mn |
| Apr 1, 2017 | 9.65 Mn |
| Dec 31, 2016 | 9.27 Mn |
| Oct 1, 2016 | 10.04 Mn |
| Jul 2, 2016 | 14.26 Mn |
| Apr 2, 2016 | 9.76 Mn |
| Jan 2, 2016 | 5.24 Mn |
| Sep 26, 2015 | 5.29 Mn |
| Jun 27, 2015 | 5.54 Mn |
| Mar 28, 2015 | 5.60 Mn |
| Dec 27, 2014 | 5.70 Mn |
| Sep 27, 2014 | 5.97 Mn |
| Jun 28, 2014 | 6.04 Mn |
| Mar 29, 2014 | 5.99 Mn |
| Dec 28, 2013 | 4.38 Mn |
| Sep 28, 2013 | 4.08 Mn |
API Access
Littelfuse Land & Improvements 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=land-and-improvements&ticker=LFUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();