Linear Minerals (LINMF) Revenue (2011 - 2013)
Linear Minerals' Revenue was $16.21 in the quarter ended Dec 31, 2013, down 95.6% from $368.36 a year earlier but up 110.5% from the prior quarter.
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Analysis
Linear Minerals (LINMF) Revenue (2011 - 2013) Analysis & Trends
On a trailing twelve-month basis, Linear Minerals' Revenue was $50,310 through Dec 31, 2013, up 477.2% year-over-year; for the year ended Mar 31, 2013, it came in at $3,794, down 90.8% from the prior year.
- In earlier years, Revenue was $41,241 in the year ended Mar 31, 2012 (+144.4%) and $16,873 in the year ended Mar 31, 2011.
- Quarterly Revenue has moved between $7.70 (the quarter ended Sep 30, 2013) and $49,138 (the quarter ended Jun 30, 2013) over five years.
- Per Business Quant data, LINMF's Revenue in the three quarters before the quarter ended Dec 31, 2013 was $7.70 (quarter ended Sep 30, 2013), $49,138 (quarter ended Jun 30, 2013) and $1,148 (quarter ended Mar 31, 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 4.29 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 6.12 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 4.34 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 7.03 Bn |
| 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 | 5.29 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 10.40 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 16.76 Bn |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 16.21 |
| Sep 30, 2013 | 7.70 |
| Jun 30, 2013 | 49,138.40 |
| Mar 31, 2013 | 1,147.92 |
| Dec 31, 2012 | 368.36 |
| Sep 30, 2012 | 1,086.42 |
| Jun 30, 2012 | 1,182.95 |
| Sep 30, 2011 | 6,078.29 |
| Jun 30, 2011 | 12,106.68 |
API Access
Linear Minerals Revenue 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=revenue&ticker=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();