Energy Services of America (ESOA) Short-Term Debt repayments (2011 - 2016)
Energy Services of America's Short-Term Debt repayments was -$4.3 million in fiscal Q3 2016 (quarter ended Jun 30, 2016), compared with -$2.87 million a year earlier.
Powered by 
Analysis
Energy Services of America (ESOA) Short-Term Debt repayments (2011 - 2016) Analysis & Trends
On a trailing twelve-month basis, Energy Services of America's Short-Term Debt repayments was -$4.29 million through Jun 30, 2016; for FY2011 (ended Sep 30, 2011), it came in at $762,057.
- The fiscal Q3 2016 figure marks the lowest quarterly Short-Term Debt repayments in data going back to fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.59 Bn | 80.67 Bn | 1.55 Bn | - |
| 2 | Ferrovial | 35.62 Bn | 13.87 Bn | - | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn | - |
| 4 | Jacobs Solutions | 17.20 Bn | 11.87 Bn | 810.70 Mn | - |
| 5 | Mastec | 13.36 Bn | 12.14 Bn | 556.28 Mn | - |
| 6 | Sterling Infrastructure | 11.38 Bn | 9.70 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn | - |
| 8 | Stantec | 8.29 Bn | 7.22 Bn | 1.36 Bn | - |
| 9 | Aecom | 7.81 Bn | 2.93 Bn | -34.04 Mn | - |
| 10 | Energy Services of America | 172.07 Mn | 118.36 Mn | 14.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | -4.30 Mn |
| Mar 31, 2016 | 2.62 Mn |
| Dec 31, 2015 | 266,235.00 |
| Jun 30, 2015 | -2.87 Mn |
| Mar 31, 2015 | -1.29 Mn |
| Dec 31, 2014 | 760,132.00 |
| Jun 30, 2014 | 557,150.00 |
| Mar 31, 2014 | 7.50 Mn |
| Dec 31, 2013 | 1.50 Mn |
| Jun 30, 2012 | 781,350.00 |
| Mar 31, 2012 | 781,607.00 |
| Dec 31, 2011 | 7,002.00 |
| Sep 30, 2011 | 404,461.00 |
API Access
Energy Services of America Short-Term Debt repayments 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=short-term-debt-repayments&ticker=ESOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "ESOA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();