Helmerich & Payne (HP) Other Accumulated Expenses (2010 - 2017)
Helmerich & Payne's Other Accumulated Expenses came in at $35.64 million for fiscal Q4 2017 (quarter ended Sep 30, 2017), up 13.3% from $31.44 million a year earlier.
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Analysis
Helmerich & Payne (HP) Other Accumulated Expenses (2010 - 2017) Analysis & Trends
Going back to fiscal Q4 2010, Helmerich & Payne's Other Accumulated Expenses data covers 8 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -0.1% (FY2012 to FY2017).
- Going back by fiscal year, Other Accumulated Expenses was $31.44 million in FY2016 (-18.5%), $38.57 million in FY2015 (-9.3%), $42.54 million in FY2014 (+11.0%) and $38.33 million in FY2013 (+6.9%).
- The fiscal Q4 2017 figure represents the highest quarterly Other Accumulated Expenses since fiscal Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 78.94 Bn | 74.87 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.26 Bn | 18.37 Bn | 1.58 Bn |
| 3 | Halliburton | 29.18 Bn | 20.90 Bn | 804.00 Mn |
| 4 | TechnipFMC | 27.68 Bn | 23.82 Bn | 684.70 Mn |
| 5 | Noble | 7.61 Bn | 5.54 Bn | 239.27 Mn |
| 6 | Transocean | 7.18 Bn | 4.89 Bn | 358.00 Mn |
| 7 | Nov | 7.10 Bn | 1.83 Bn | 521.00 Mn |
| 8 | Valaris | 6.76 Bn | 4.37 Bn | 123.70 Mn |
| 9 | Weatherford International | 6.24 Bn | 1.98 Bn | 374.00 Mn |
| 10 | Helmerich & Payne | 3.89 Bn | 2.97 Bn | 349.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 35.64 Mn |
| Sep 30, 2016 | 31.44 Mn |
| Sep 30, 2015 | 38.57 Mn |
| Sep 30, 2014 | 42.54 Mn |
| Sep 30, 2013 | 38.33 Mn |
| Sep 30, 2012 | 35.84 Mn |
| Sep 30, 2011 | 37.79 Mn |
| Sep 30, 2010 | 44.93 Mn |
API Access
Helmerich & Payne Other 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=other-accumulated-expenses&ticker=HP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "HP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();