Quartz Mountain Resources (QZMRF) Enterprise Value (2009 - 2026)
Quartz Mountain Resources (QZMRF) reported Enterprise Value of $42.67 million for fiscal Q2 2026 (quarter ended Jan 31, 2026), up 142.1% from $17.63 million a year earlier and up 59.9% from the prior quarter.
Quartz Mountain Resources (QZMRF) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jan 31, 2026, Quartz Mountain Resources' Enterprise Value came in at $35.64 million, up 137.4% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $28.44 million, up 240.5% from FY2024.
- Enterprise Value has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 68.7% (FY2020 to FY2025).
- By fiscal year, Enterprise Value came in at $8.35 million in FY2024 (+571.8%), $1.24 million in FY2023 (+26.9%), $979,797 in FY2022 (-82.0%) and $5.45 million in FY2021 (+162.2%).
- The fiscal Q2 2026 figure ranks as the highest quarterly Enterprise Value in data going back to fiscal Q2 2009.
- Year over year, Enterprise Value has now increased in each of the last seven quarters, with growth averaging 226.8% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q4 2024 (growth of 572.9%); the low point was fiscal Q1 2023 (a decline of 87.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $26.68 million (Q1 2026), $28.41 million (Q4 2025) and $18.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - |
| 10 | Quartz Mountain Resources | 16.60 Mn | 6.84 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 42.59 Mn |
| Oct 31, 2025 | 26.69 Mn |
| Jul 31, 2025 | 28.42 Mn |
| Apr 30, 2025 | 17.97 Mn |
| Jan 31, 2025 | 17.65 Mn |
| Oct 31, 2024 | 12.03 Mn |
| Jul 31, 2024 | 8.38 Mn |
| Apr 30, 2024 | 6.52 Mn |
| Jan 31, 2024 | 6.98 Mn |
| Oct 31, 2023 | 2.32 Mn |
| Jul 31, 2023 | 1.24 Mn |
| Apr 30, 2023 | 7.23 Mn |
| Jan 31, 2023 | 613,918.22 |
| Oct 31, 2022 | 798,181.23 |
| Jul 31, 2022 | 982,162.39 |
| Apr 30, 2022 | 7.52 Mn |
| Jan 31, 2022 | 4.93 Mn |
| Oct 31, 2021 | 6.41 Mn |
| Jul 31, 2021 | 5.45 Mn |
| Apr 30, 2021 | 3.15 Mn |
Quartz Mountain Resources Enterprise Value 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=enterprise-value&ticker=QZMRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=QZMRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();