Quartz Mountain Resources (QZMRF) Total Liabilities (2009 - 2026)
Quartz Mountain Resources' Total Liabilities came in at $122,616 for fiscal Q2 2026 (quarter ended Jan 31, 2026), down 100.0% from $1.65 billion a year earlier and down 100.0% from the prior quarter.
Quartz Mountain Resources (QZMRF) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Quartz Mountain Resources' Total Liabilities was $201,859, down 17.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 27.7% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $245,202 in FY2024 (+351.1%), $54,361 in FY2023 (-79.2%), $261,901 in FY2022 (+146.9%) and $106,056 in FY2021 (+78.2%).
- The fiscal Q2 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q4 2023.
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 117.6%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2023 (growth of 671.0%), and the weakest in fiscal Q2 2026 (a decline of 100.0%).
- Business Quant data shows QZMRF's Total Liabilities at $2.68 billion (Q1 2026), $204,830 (Q4 2025) and $3.71 billion (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 44.33 Bn |
| 10 | Quartz Mountain Resources | 16.60 Mn | 6.84 Mn | - | 126,123.63 |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 126,123.63 |
| Oct 31, 2025 | 56.37 Mn |
| Jul 31, 2025 | 203,572.46 |
| Apr 30, 2025 | 241.80 Mn |
| Jan 31, 2025 | 1.62 Bn |
| Oct 31, 2024 | 34.31 Mn |
| Jul 31, 2024 | 240,469.76 |
| Apr 30, 2024 | -701.33 Bn |
| Jan 31, 2024 | 97.92 Mn |
| Oct 31, 2023 | 71.97 Mn |
| Jul 31, 2023 | 55,016.98 |
| Apr 30, 2023 | 28.84 Mn |
| Jan 31, 2023 | 36.54 Mn |
| Oct 31, 2022 | 98.48 Mn |
| Jul 31, 2022 | 259,458.11 |
| Apr 30, 2022 | 59.63 Mn |
| Jan 31, 2022 | 689.19 Mn |
| Oct 31, 2021 | 120.43 Mn |
| Jul 31, 2021 | 108,472.76 |
| Apr 30, 2021 | 1.75 Mn |
Quartz Mountain Resources Total Liabilities 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=total-liabilities&ticker=QZMRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=QZMRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();