Emcor (EME) Long-Term Investments (2009 - 2019)
Emcor (EME) posted Long-Term Investments of $1.48 million for Q3 2019, down 58.3% from $3.54 million a year earlier and down 22.4% from the prior quarter.
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Analysis
Emcor (EME) Long-Term Investments (2009 - 2019) Analysis & Trends
At the end of FY2018, Emcor's Long-Term Investments came in at $2.9 million, up 25.6% from FY2017.
- Annual Long-Term Investments shows a five-year compound annual growth rate of -15.7% (FY2013 to FY2018).
- In prior years, Emcor's Long-Term Investments was $2.31 million in FY2017 (-73.7%), $8.79 million in FY2016 (+5.2%), $8.36 million in FY2015 (-8.4%) and $9.12 million in FY2014 (+34.2%).
- The Q3 2019 figure stands as the lowest quarterly Long-Term Investments in data going back to Q4 2009.
- On a year-over-year basis, Long-Term Investments has declined in each of the last three quarters, with an average decline of 40.2% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q1 2016, with growth of 42.6%; the weakest was Q4 2017, with a decline of 73.7%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $1.9 million (Q2 2019), $3.64 million (Q1 2019) and $2.9 million (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | - |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | 4.60 Bn |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | - |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | - |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 101.57 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | - |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 63.89 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 155.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 1.48 Mn |
| Jun 30, 2019 | 1.90 Mn |
| Mar 31, 2019 | 3.64 Mn |
| Dec 31, 2018 | 2.90 Mn |
| Sep 30, 2018 | 3.54 Mn |
| Jun 30, 2018 | 4.18 Mn |
| Mar 31, 2018 | 3.68 Mn |
| Dec 31, 2017 | 2.31 Mn |
| Sep 30, 2017 | 7.60 Mn |
| Jun 30, 2017 | 7.72 Mn |
| Mar 31, 2017 | 9.22 Mn |
| Dec 31, 2016 | 8.79 Mn |
| Sep 30, 2016 | 8.23 Mn |
| Jun 30, 2016 | 7.67 Mn |
| Mar 31, 2016 | 8.60 Mn |
| Dec 31, 2015 | 8.36 Mn |
| Sep 30, 2015 | 7.15 Mn |
| Jun 30, 2015 | 6.57 Mn |
| Mar 31, 2015 | 6.03 Mn |
| Dec 31, 2014 | 9.12 Mn |
API Access
Emcor 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=EME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "EME", "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=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();