Trilogy Metals (TMQ) Enterprise Value (2013 - 2026)
Trilogy Metals (TMQ) posted Enterprise Value of $623.5 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 145.2% from $254.31 million a year earlier but down 18.1% from the prior quarter.
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Analysis
Trilogy Metals (TMQ) Enterprise Value (2013 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Enterprise Value at Trilogy Metals was $485.27 million, up 171.6% year-over-year; for FY2025 (ended Nov 30, 2025), it was $686.88 million, up 290.7% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- In prior fiscal years, Trilogy Metals' Enterprise Value was $175.81 million in FY2024 (+166.0%), $66.1 million in FY2023 (-22.4%), $85.17 million in FY2022 (-64.7%) and $240.98 million in FY2021 (-9.8%).
- Quarterly Enterprise Value has run from a low of $61.15 million in fiscal Q3 2024 to a high of $760.97 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last eight quarters, with growth averaging 235.3% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q2 2026, with growth of 345.5%; the weakest was fiscal Q3 2022, with a decline of 68.2%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $760.97 million (Q2 2026), $729.88 million (Q1 2026) and $686.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 162.84 Bn | 141.62 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.31 Bn | 101.81 Bn | - |
| 4 | Newmont | 124.18 Bn | 92.18 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.62 Bn | 82.66 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.79 Bn | 83.42 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.36 Bn | 44.55 Bn | 2.90 Bn |
| 8 | Nucor | 60.12 Bn | 49.50 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.51 Bn | 27.53 Bn | - |
| 10 | Trilogy Metals | 387.85 Mn | 218.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 623.50 Mn |
| May 31, 2026 | 760.97 Mn |
| Feb 28, 2026 | 729.88 Mn |
| Nov 30, 2025 | 686.88 Mn |
| Aug 31, 2025 | 254.31 Mn |
| May 31, 2025 | 170.83 Mn |
| Feb 28, 2025 | 209.62 Mn |
| Nov 30, 2024 | 175.81 Mn |
| Aug 31, 2024 | 61.15 Mn |
| May 31, 2024 | 66.25 Mn |
| Feb 29, 2024 | 66.86 Mn |
| Nov 30, 2023 | 66.10 Mn |
| Aug 31, 2023 | 73.33 Mn |
| May 31, 2023 | 72.06 Mn |
| Feb 28, 2023 | 83.22 Mn |
| Nov 30, 2022 | 85.17 Mn |
| Aug 31, 2022 | 91.91 Mn |
| May 31, 2022 | 140.90 Mn |
| Feb 28, 2022 | 134.80 Mn |
| Nov 30, 2021 | 240.98 Mn |
API Access
Trilogy Metals 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=TMQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TMQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();