Linear Minerals (LINMF) Change in Acquisitions & Divestments (2011 - 2014)
Linear Minerals' Change in Acquisitions & Divestments was $8,816 in the year ended Mar 31, 2015, down 89.7% from $85,581 a year earlier.
Linear Minerals (LINMF) Change in Acquisitions & Divestments (2011 - 2014) Analysis & Trends
From the year ended Mar 31, 2011 onward, Linear Minerals has reported Change in Acquisitions & Divestments for 5 years.
- The figure for the year ended Mar 31, 2015 marks the lowest annual Change in Acquisitions & Divestments since the year ended Mar 31, 2011.
- Per Business Quant data, Change in Acquisitions & Divestments in earlier years was $85,581 in the year ended Mar 31, 2014 (+13.6%), $75,367 in the year ended Mar 31, 2013 (-98.2%), $4.19 million in the year ended Mar 31, 2012 and -$4.26 million in the year ended Mar 31, 2011.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Linear Minerals | 1.59 Mn | 1.59 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 9,165.46 |
| Mar 31, 2014 | 68,093.51 |
| Dec 31, 2013 | -81,034.35 |
| Sep 30, 2013 | 24,064.85 |
| Jun 30, 2013 | 73,378.56 |
| Mar 31, 2013 | -24,825.18 |
| Dec 31, 2012 | 201,839.28 |
| Sep 30, 2012 | 200,817.13 |
| Jun 30, 2012 | -296,798.88 |
| Mar 31, 2012 | 449,411.54 |
| Dec 31, 2011 | 512,941.37 |
Linear Minerals Change in Acquisitions & Divestments 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=change-in-acquisitions-and-divestments&ticker=LINMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "ticker": "LINMF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-acquisitions-and-divestments&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();