Dycom Industries (DY) Accumulated Expenses (2009 - 2019)
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Analysis
Dycom Industries (DY) Accumulated Expenses (2009 - 2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 27, 2019 | 59.79 Mn |
| Jan 26, 2019 | 68.32 Mn |
| Oct 27, 2018 | 65.98 Mn |
| Jul 28, 2018 | 61.10 Mn |
| Apr 28, 2018 | 59.87 Mn |
| Jan 27, 2018 | 59.39 Mn |
| Oct 28, 2017 | 60.78 Mn |
| Jul 29, 2017 | 62.01 Mn |
| Apr 29, 2017 | 60.73 Mn |
| Jan 28, 2017 | 59.69 Mn |
| Oct 29, 2016 | 54.56 Mn |
| Jul 30, 2016 | 52.84 Mn |
| Apr 23, 2016 | 51.32 Mn |
| Jan 23, 2016 | 50.99 Mn |
| Oct 24, 2015 | 49.91 Mn |
| Jul 25, 2015 | 51.48 Mn |
| Apr 25, 2015 | 60.91 Mn |
| Jan 24, 2015 | 52.75 Mn |
| Oct 25, 2014 | 58.91 Mn |
| Jul 26, 2014 | 61.28 Mn |
API Access
Dycom Industries Accumulated Expenses 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=accumulated-expenses&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();