Artesian Resources (ARTNA) EV to FCF (2011 - 2017)
Artesian Resources' EV to FCF came in at 205.25 for Q1 2017, up 438.0% from 38.15 a year earlier and up 19.2% from the prior quarter.
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Analysis
Artesian Resources (ARTNA) EV to FCF (2011 - 2017) Analysis & Trends
Over the trailing twelve months to Mar 31, 2017, Artesian Resources reported EV to FCF of 204.72, up 439.2% year-over-year; for FY2016, it was 172.20, up 487.0% from FY2015.
- Going back by year, EV to FCF was 29.34 in FY2015 and 61.89 in FY2012 (+31.2%).
- The Q1 2017 figure represents the highest quarterly EV to FCF since Q3 2013.
- Year-over-year, EV to FCF has increased for three consecutive quarters.
- Business Quant data shows ARTNA's EV to FCF at 172.20 (Q4 2016), 69.39 (Q3 2016) and 81.76 (Q2 2016) in the three quarters before Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nextera Energy | 181.61 Bn | 168.36 Bn | - |
| 2 | Southern | 106.32 Bn | 97.38 Bn | 5.92 Bn |
| 3 | Duke Energy | 100.02 Bn | 96.28 Bn | 5.66 Bn |
| 4 | National Grid | 83.35 Bn | 55.64 Bn | - |
| 5 | American Electric Power | 69.89 Bn | 67.69 Bn | 4.75 Bn |
| 6 | Dominion Energy | 60.05 Bn | 58.04 Bn | - |
| 7 | Entergy | 52.54 Bn | 38.98 Bn | - |
| 8 | Sempra | 51.50 Bn | 50.63 Bn | 2.89 Bn |
| 9 | Xcel Energy | 50.45 Bn | 43.92 Bn | - |
| 10 | Artesian Resources | 347.28 Mn | 332.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 205.25 |
| Dec 31, 2016 | 172.20 |
| Sep 30, 2016 | 69.39 |
| Jun 30, 2016 | 81.76 |
| Mar 31, 2016 | 38.15 |
| Dec 31, 2015 | 29.34 |
| Sep 30, 2015 | 59.58 |
| Mar 31, 2014 | 119.70 |
| Sep 30, 2013 | 379.17 |
| Dec 31, 2012 | 61.89 |
| Sep 30, 2012 | 48.27 |
| Jun 30, 2012 | 48.09 |
| Mar 31, 2012 | 32.87 |
| Dec 31, 2011 | 47.17 |
| Sep 30, 2011 | 5,181.24 |
API Access
Artesian Resources EV to FCF 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=ev-to-fcf&ticker=ARTNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "ARTNA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-fcf&ticker=ARTNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();