Trilogy Metals (TMQ) Operating Expenses (2016 - 2026)
Trilogy Metals' Operating Expenses was $2.1 million in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 80.0% from $1.17 million a year earlier but down 2.2% from the prior quarter.
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Analysis
Trilogy Metals (TMQ) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Trilogy Metals' Operating Expenses was $12.23 million through Aug 31, 2026, up 61.2% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $9.42 million, up 40.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $6.7 million in FY2024 (-7.3%), $7.23 million in FY2023 (+4.4%), $6.93 million in FY2022 (-19.6%) and $8.62 million in FY2021 (-29.2%).
- Quarterly Operating Expenses has moved between $1.14 million (fiscal Q3 2024) and $4.63 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for eight straight quarters, with growth averaging 43.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2025 (growth of 121.0%); the worst was fiscal Q4 2021 (a decline of 39.6%).
- Per Business Quant data, TMQ's Operating Expenses in the three fiscal quarters before Q3 2026 was $2.14 million (Q2 2026), $4.63 million (Q1 2026) and $3.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | -780.00 Mn |
| 10 | Trilogy Metals | 393.90 Mn | 224.45 Mn | - | 2.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.10 Mn |
| May 31, 2026 | 2.14 Mn |
| Feb 28, 2026 | 4.63 Mn |
| Nov 30, 2025 | 3.36 Mn |
| Aug 31, 2025 | 1.17 Mn |
| May 31, 2025 | 1.67 Mn |
| Feb 28, 2025 | 3.23 Mn |
| Nov 30, 2024 | 1.52 Mn |
| Aug 31, 2024 | 1.14 Mn |
| May 31, 2024 | 1.22 Mn |
| Feb 29, 2024 | 2.82 Mn |
| Nov 30, 2023 | 1.22 Mn |
| Aug 31, 2023 | 1.18 Mn |
| May 31, 2023 | 1.23 Mn |
| Feb 28, 2023 | 3.61 Mn |
| Nov 30, 2022 | 1.18 Mn |
| Aug 31, 2022 | 1.17 Mn |
| May 31, 2022 | 1.50 Mn |
| Feb 28, 2022 | 3.12 Mn |
| Nov 30, 2021 | 1.88 Mn |
API Access
Trilogy Metals Operating Expenses 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=operating-expenses&ticker=TMQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TMQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();