Precision Drilling (PDS) Land & Improvements (2010 - 2015)
Precision Drilling (PDS) reported Land & Improvements of $35.59 million for Q4 2015, up 9.2% from $32.58 million a year earlier.
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Analysis
Precision Drilling (PDS) Land & Improvements (2010 - 2015) Analysis & Trends
Dating back to Q4 2010, Precision Drilling's Land & Improvements record includes 6 quarters.
- Land & Improvements has increased for five consecutive years, with a five-year compound annual growth rate of 14.1% (FY2010 to FY2015).
- By year, Land & Improvements came in at $32.58 million in FY2014 (+10.4%), $29.52 million in FY2013 (+3.2%), $28.59 million in FY2012 (+38.4%) and $20.66 million in FY2011 (+12.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | - |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | - |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | Precision Drilling | 1.07 Bn | 908.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 35.59 Mn |
| Dec 31, 2014 | 32.58 Mn |
| Dec 31, 2013 | 29.52 Mn |
| Dec 31, 2012 | 28.59 Mn |
| Dec 31, 2011 | 20.66 Mn |
| Dec 31, 2010 | 18.72 Mn |
API Access
Precision Drilling Land & Improvements 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=land-and-improvements&ticker=PDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "PDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=PDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();