Weatherford International (WFRD) Land & Improvements (2013 - 2020)
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 - 2020) 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 | 73.67 Bn | 71.28 Bn | 1.57 Bn | - |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | - |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | - |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | - |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | - |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | - |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | - |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | - |
| 10 | Kodiak Gas Services | 4.28 Bn | 3.96 Bn | 259.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 1.21 Bn |
| 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();