Weatherford International (WFRD) Land & Improvements (2013 - 2017)
Weatherford International (WFRD) recorded Land & Improvements of $1.55 billion in Q4 2017, down 4.4% from $1.62 billion a year earlier.
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Analysis
Weatherford International (WFRD) Land & Improvements (2013 - 2017) Analysis & Trends
Starting with Q4 2013, Weatherford International's Land & Improvements history includes 5 quarters.
- Annual Land & Improvements has declined for three straight years, with a four-year compound annual growth rate of -3.3% (FY2013 to FY2017).
- Across earlier years, Land & Improvements came in at $1.62 billion in FY2016 (-8.9%), $1.78 billion in FY2015 (-3.1%), $1.84 billion in FY2014 (+3.4%) and $1.78 billion in FY2013.
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 | Kodiak Gas Services | 5.35 Bn | 5.11 Bn | 246.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 1.55 Bn |
| Dec 31, 2016 | 1.62 Bn |
| Dec 31, 2015 | 1.78 Bn |
| Dec 31, 2014 | 1.84 Bn |
| Dec 31, 2013 | 1.78 Bn |
API Access
Weatherford International 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=WFRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "WFRD", "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=WFRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();