Linear Minerals (LINMF) Interest Expenses (2009 - 2014)
Linear Minerals (LINMF) posted Interest Expenses of $205.19 for the quarter ended Mar 31, 2014, down 82.1% from $1,148 a year earlier.
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Analysis
Linear Minerals (LINMF) Interest Expenses (2009 - 2014) Analysis & Trends
For the year ended Mar 31, 2014, Linear Minerals' Interest Expenses came in at $479.02, down 87.4% from the prior year.
- Annual Interest Expenses shows a five-year compound annual growth rate of -55.2% (years ended Mar 2009 to Mar 2014).
- In prior years, Linear Minerals' Interest Expenses was $3,794 in the year ended Mar 31, 2013 (-90.8%), $41,241 in the year ended Mar 31, 2012, -$43,748 in the year ended Mar 31, 2011 and $32,703 in the year ended Mar 31, 2010 (+23.1%).
- Quarterly Interest Expenses has run from a low of -$63,748 in the quarter ended Mar 31, 2011 to a high of $45,043 in the quarter ended Jun 30, 2009 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last eight quarters, with an average decline of 88.4% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was the quarter ended Jun 30, 2011, with growth of 23.3%; the weakest was the quarter ended Sep 30, 2013, with a decline of 99.3%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $16.21 (quarter ended Dec 31, 2013), $7.70 (quarter ended Sep 30, 2013) and $247.39 (quarter ended Jun 30, 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | - |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -50.43 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -136.00 Mn |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 205.19 |
| Dec 31, 2013 | 16.21 |
| Sep 30, 2013 | 7.70 |
| Jun 30, 2013 | 247.39 |
| Mar 31, 2013 | 1,147.92 |
| Dec 31, 2012 | 368.36 |
| Sep 30, 2012 | 1,086.42 |
| Jun 30, 2012 | 1,182.95 |
| Mar 31, 2012 | 20,882.66 |
| Dec 31, 2011 | 2,292.12 |
| Sep 30, 2011 | 6,078.29 |
| Jun 30, 2011 | 12,106.68 |
| Mar 31, 2011 | -63,747.93 |
| Dec 31, 2010 | 9,302.22 |
| Sep 30, 2010 | 11,327.33 |
| Jun 30, 2010 | 9,814.91 |
| Mar 31, 2010 | -47,797.17 |
| Dec 31, 2009 | 14,209.75 |
| Sep 30, 2009 | 16,518.14 |
| Jun 30, 2009 | 45,042.78 |
API Access
Linear Minerals Interest Expenses 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=interest-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();