Linear Minerals (LINMF) Price to Earnings (2009 - 2022)
Linear Minerals' (LINMF) Price to Earnings came in at 118494.11 for the quarter ended Mar 31, 2022, compared with 68.41 a year earlier.
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Analysis
Linear Minerals (LINMF) Price to Earnings (2009 - 2022) Analysis & Trends
For the year ended Mar 31, 2019, Linear Minerals' Price to Earnings stood at 8.22, down 21.3% from the prior year.
- In prior years, Linear Minerals' Price to Earnings was 10.45 in the year ended Mar 31, 2018 (-90.9%), 114.63 in the year ended Mar 31, 2017 (+51.7%), 75.56 in the year ended Mar 31, 2016 (-99.0%) and 7422.97 in the year ended Mar 31, 2015.
- The figure for the quarter ended Mar 31, 2022 stands as the highest quarterly Price to Earnings in data going back to the quarter ended Jun 30, 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - |
| 10 | Linear Minerals | 1.59 Mn | 1.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 118,494.11 |
| Mar 31, 2021 | 68.41 |
| Mar 31, 2020 | 21.17 |
| Mar 31, 2019 | 29.79 |
| Mar 31, 2018 | 11.40 |
| Mar 31, 2017 | 112.27 |
| Mar 31, 2016 | 216.18 |
| Mar 31, 2015 | 42.01 |
| Jun 30, 2014 | 78.38 |
| Mar 31, 2014 | 78.09 |
| Dec 31, 2013 | 473.81 |
| Sep 30, 2013 | 449.62 |
| Jun 30, 2013 | 290.12 |
| Mar 31, 2013 | 372.60 |
| Dec 31, 2012 | 446.51 |
| Sep 30, 2012 | 1,196.12 |
| Jun 30, 2012 | 783.29 |
| Mar 31, 2012 | 0.00 |
| Dec 31, 2011 | 0.00 |
| Sep 30, 2011 | 0.00 |
API Access
Linear Minerals Price to Earnings 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=price-to-earnings&ticker=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();