Quartz Mountain Resources (QZMRF) Price to Earnings (2009 - 2020)
Quartz Mountain Resources' (QZMRF) Price to Earnings was 0.93 for fiscal Q1 2021 (quarter ended Oct 31, 2020), down 19.9% from the prior quarter.
Analysis
Quartz Mountain Resources (QZMRF) Price to Earnings (2009 - 2020) Analysis & Trends
For FY2020 (ended Jul 31, 2020), Price to Earnings at Quartz Mountain Resources was 1.19.
- Five-year quarterly Price to Earnings spans a low of 0.07 in fiscal Q2 2020 and a high of 217.10 in fiscal Q2 2017.
- Per Business Quant data, the three fiscal quarters before Q1 2021 came in at 1.16 (Q4 2020), 0.07 (Q3 2020) and 0.07 (Q2 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - |
| 2 | Southern Copper | 153.49 Bn | 132.28 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.48 Bn | 95.98 Bn | - |
| 4 | Newmont | 113.96 Bn | 79.11 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.70 Bn | 77.74 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 87.17 Bn | 76.80 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.05 Bn | 40.24 Bn | 2.90 Bn |
| 8 | Nucor | 58.96 Bn | 48.35 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.39 Bn | 24.42 Bn | - |
| 10 | Quartz Mountain Resources | 19.50 Mn | 9.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2020 | 1.49 |
| Jul 31, 2020 | 1.85 |
| Apr 30, 2020 | 0.07 |
| Jan 31, 2020 | 0.07 |
| Jan 31, 2017 | 22.09 |
| Oct 31, 2016 | 13.36 |
| Jul 31, 2016 | 9.37 |
| Oct 31, 2014 | 11.69 |
| Jul 31, 2014 | 7.38 |
| Apr 30, 2014 | 6.26 |
| Jan 31, 2014 | 3.88 |
| Oct 31, 2013 | 5.86 |
| Jul 31, 2013 | 1.66 |
| Apr 30, 2013 | 3.40 |
| Jan 31, 2013 | 2.37 |
| Oct 31, 2012 | 1.67 |
| Jul 31, 2012 | 2.56 |
| Apr 30, 2012 | 0.12 |
| Jan 31, 2012 | 0.04 |
| Oct 31, 2011 | 0.03 |
API Access
Quartz Mountain Resources 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=QZMRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "QZMRF", "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=QZMRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();