Cleveland-Cliffs (CLF) Research & Development (2010 - 2014)
Cleveland-Cliffs (CLF) posted Research & Development of $100,000 for Q4 2014, down 99.2% from $13.1 million a year earlier and down 90.9% from the prior quarter.
Cleveland-Cliffs (CLF) Research & Development (2010 - 2014) Analysis & Trends
For FY2014, Cleveland-Cliffs' Research & Development came in at $8.8 million, down 85.1% from FY2013.
- Annual Research & Development shows a four-year compound annual growth rate of -28.5% (FY2010 to FY2014).
- In prior years, Cleveland-Cliffs' Research & Development was $59 million in FY2013 (-58.7%), $142.8 million in FY2012 (+77.4%), $80.5 million in FY2011 (+138.9%) and $33.7 million in FY2010.
- The Q4 2014 figure stands as the lowest quarterly Research & Development in data going back to Q2 2010.
- On a year-over-year basis, Research & Development has declined in each of the last seven quarters, with an average decline of 66.1% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q3 2011, with growth of 158.3%; the weakest was Q4 2014, with a decline of 99.2%.
- According to Business Quant data, Research & Development for the three prior quarters was $1.1 million (Q3 2014), $3.4 million (Q2 2014) and $4.2 million (Q1 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 14.90 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 47.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 53.00 Mn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 134.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | - |
| 10 | Cleveland-Cliffs | 6.40 Bn | 6.38 Bn | 132.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 100,000.00 |
| Sep 30, 2014 | 1.10 Mn |
| Jun 30, 2014 | 3.40 Mn |
| Mar 31, 2014 | 4.20 Mn |
| Dec 31, 2013 | 13.10 Mn |
| Sep 30, 2013 | 10.60 Mn |
| Jun 30, 2013 | 12.60 Mn |
| Mar 31, 2013 | 22.70 Mn |
| Dec 31, 2012 | 47.60 Mn |
| Sep 30, 2012 | 45.60 Mn |
| Jun 30, 2012 | 29.10 Mn |
| Mar 31, 2012 | 18.80 Mn |
| Dec 31, 2011 | 25.10 Mn |
| Sep 30, 2011 | 26.60 Mn |
| Jun 30, 2011 | 18.20 Mn |
| Mar 31, 2011 | 10.60 Mn |
| Dec 31, 2010 | 14.30 Mn |
| Sep 30, 2010 | 10.30 Mn |
| Jun 30, 2010 | 7.70 Mn |
Cleveland-Cliffs Research & Development 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=research-and-development&ticker=CLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();