Richardson Electronics (RELL) Long-Term Investments (2011 - 2017)
Richardson Electronics' Long-Term Investments was $686,000 in fiscal Q2 2018 (quarter ended Dec 2, 2017), down 70.7% from $2.34 million a year earlier and down 72.7% from the prior quarter.
Richardson Electronics (RELL) Long-Term Investments (2011 - 2017) Analysis & Trends
At the end of FY2017 (ended May 27, 2017), Long-Term Investments at Richardson Electronics came in at $8.2 million, down 13.7% from FY2016.
- Long-Term Investments shows a five-year compound annual growth rate of -41.1% (FY2012 to FY2017).
- In earlier fiscal years, Long-Term Investments was $9.5 million in FY2016 (-72.6%), $34.7 million in FY2015 (+6.1%), $32.7 million in FY2014 (-25.7%) and $44 million in FY2013 (-61.8%).
- The fiscal Q2 2018 figure marks the lowest quarterly Long-Term Investments in data going back to fiscal Q4 2011.
- Compared with a year earlier, Long-Term Investments was higher in 1 of the last six quarters, with an average decline of 50.0%.
- The best year-over-year quarter for Long-Term Investments over five years was fiscal Q3 2015 (growth of 571.2%); the worst was fiscal Q1 2017 (a decline of 77.1%).
- Per Business Quant data, RELL's Long-Term Investments in the three fiscal quarters before Q2 2018 was $2.51 million (Q1 2018), $8.2 million (Q4 2017) and $2.4 million (Q3 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | - |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Richardson Electronics | 223.19 Mn | 93.12 Mn | 20.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 2, 2017 | 686,000.00 |
| Sep 2, 2017 | 2.51 Mn |
| May 27, 2017 | 8.20 Mn |
| Feb 25, 2017 | 2.40 Mn |
| Nov 26, 2016 | 2.34 Mn |
| Aug 27, 2016 | 2.41 Mn |
| May 28, 2016 | 9.50 Mn |
| Nov 28, 2015 | 7.90 Mn |
| Aug 29, 2015 | 10.51 Mn |
| May 30, 2015 | 34.70 Mn |
| Feb 28, 2015 | 11.79 Mn |
| Nov 29, 2014 | 12.03 Mn |
| Aug 30, 2014 | 8.80 Mn |
| May 31, 2014 | 32.70 Mn |
| Mar 1, 2014 | 1.76 Mn |
| Nov 30, 2013 | 1.99 Mn |
| Aug 31, 2013 | 4.23 Mn |
| Jun 1, 2013 | 44.00 Mn |
| Mar 2, 2013 | 7.15 Mn |
| Dec 1, 2012 | 7.38 Mn |
Richardson Electronics Long-Term Investments 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=long-term-investments&ticker=RELL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "RELL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=RELL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();