Linear Minerals (LINMF) Revenue (2010 - 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.
Linear Minerals (LINMF) Revenue (2010 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.53 Bn | 142.32 Bn | 2.90 Bn | 4.29 Bn |
| 3 | Rio Tinto | 141.44 Bn | 101.94 Bn | - | - |
| 4 | Newmont | 124.10 Bn | 92.10 Bn | 4.03 Bn | 6.12 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 7.03 Bn |
| 6 | Agnico Eagle Mines | 93.45 Bn | 83.08 Bn | 2.43 Bn | 3.80 Bn |
| 7 | Barrick Mining | 69.38 Bn | 44.58 Bn | 2.90 Bn | 5.29 Bn |
| 8 | Nucor | 60.61 Bn | 50.00 Bn | 2.03 Bn | 10.40 Bn |
| 9 | ArcelorMittal | 48.56 Bn | 27.58 Bn | - | 16.76 Bn |
| 10 | Linear Minerals | 1.38 Mn | 322,376.77 | - | - |
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 |
| Mar 31, 2011 | -14,828.94 |
| Mar 31, 2010 | 49,956.18 |
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_KEY
import 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();