Cleveland-Cliffs (CLF) Land & Improvements (2010 - 2019)
Cleveland-Cliffs (CLF) recorded Land & Improvements of $12.4 million in Q4 2019, unchanged from $12.4 million a year earlier.
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Analysis
Cleveland-Cliffs (CLF) Land & Improvements (2010 - 2019) Analysis & Trends
Starting with Q4 2010, Cleveland-Cliffs' Land & Improvements history includes 10 quarters.
- Annual Land & Improvements has a five-year compound annual growth rate of 1.3% (FY2014 to FY2019).
- Across earlier years, Land & Improvements came in at $12.4 million in FY2018 (unchanged), $12.4 million in FY2017 (+6.9%), $11.6 million in FY2016 (unchanged) and $11.6 million in FY2015 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | - |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | - |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | - |
| 10 | Cleveland-Cliffs | 8.04 Bn | 7.79 Bn | 465.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 12.40 Mn |
| Dec 31, 2018 | 12.40 Mn |
| Dec 31, 2017 | 12.40 Mn |
| Dec 31, 2016 | 11.60 Mn |
| Dec 31, 2015 | 11.60 Mn |
| Dec 31, 2014 | 11.60 Mn |
| Dec 31, 2013 | 46.30 Mn |
| Dec 31, 2012 | 46.40 Mn |
| Dec 31, 2011 | 37.30 Mn |
| Dec 31, 2010 | 25.00 Mn |
API Access
Cleveland-Cliffs 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=CLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "CLF", "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=CLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();