Trilogy Metals (TMQ) Total Liabilities (2013 - 2026)
Trilogy Metals' Total Liabilities was $23.91 million in fiscal Q3 2026 (quarter ended Aug 31, 2026), compared with $455,000 a year earlier and down 32.2% from the prior quarter.
Trilogy Metals (TMQ) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Total Liabilities at Trilogy Metals came in at $33.18 million.
- Total Liabilities shows a five-year compound annual growth rate of 86.9% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $903,000 in FY2024 (+94.2%), $465,000 in FY2023 (-18.0%), $567,000 in FY2022 (-55.2%) and $1.27 million in FY2021 (-12.9%).
- Quarterly Total Liabilities has moved between $455,000 (fiscal Q3 2025) and $35.27 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities was higher in three of the last four quarters, with growth averaging 64.4%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2025 (growth of 108.9%); the worst was fiscal Q4 2022 (a decline of 55.2%).
- Per Business Quant data, TMQ's Total Liabilities in the three fiscal quarters before Q3 2026 was $35.27 million (Q2 2026), $33.06 million (Q1 2026) and $33.18 million (Q4 2025).
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 | 164.24 Bn | 143.03 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.58 Bn | 102.09 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.17 Bn | 92.18 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.56 Bn | 82.60 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.87 Bn | 83.50 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.81 Bn | 49.19 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.19 Bn | 27.21 Bn | - | 44.33 Bn |
| 10 | Trilogy Metals | 388.30 Mn | 218.86 Mn | - | 23.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 23.91 Mn |
| May 31, 2026 | 35.27 Mn |
| Feb 28, 2026 | 33.06 Mn |
| Nov 30, 2025 | 33.18 Mn |
| Aug 31, 2025 | 455,000.00 |
| May 31, 2025 | 967,000.00 |
| Feb 28, 2025 | 800,000.00 |
| Nov 30, 2024 | 903,000.00 |
| Aug 31, 2024 | 553,000.00 |
| May 31, 2024 | 463,000.00 |
| Feb 29, 2024 | 464,000.00 |
| Nov 30, 2023 | 465,000.00 |
| Aug 31, 2023 | 564,000.00 |
| May 31, 2023 | 728,000.00 |
| Feb 28, 2023 | 846,000.00 |
| Nov 30, 2022 | 567,000.00 |
| Aug 31, 2022 | 777,000.00 |
| May 31, 2022 | 884,000.00 |
| Feb 28, 2022 | 945,000.00 |
| Nov 30, 2021 | 1.27 Mn |
Trilogy Metals 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=TMQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TMQ", "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=TMQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();