Linear Minerals (LINMF) Market Capitalization (2009 - 2026)
Linear Minerals' Market Capitalization was $212,597 in the quarter ended Jun 30, 2026, up 127.2% from $93,565 a year earlier but down 50.0% from the prior quarter.
Linear Minerals (LINMF) Market Capitalization (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Market Capitalization at Linear Minerals came in at $425,195, up 127.2% from the prior year.
- Market Capitalization shows a five-year compound annual growth rate of -46.5% (years ended Mar 2021 to Mar 2026).
- In earlier years, Market Capitalization was $187,131 in the year ended Mar 31, 2025 (-82.0%), $1.04 million in the year ended Mar 31, 2024 (-91.0%), $11.61 million in the year ended Mar 31, 2023 (-9.1%) and $12.77 million in the year ended Mar 31, 2022 (+31.8%).
- Quarterly Market Capitalization has moved between $93,565 (the quarter ended Jun 30, 2025) and $12.77 million (the quarter ended Mar 31, 2022) over five years.
- Compared with a year earlier, Market Capitalization was higher in two of the last eight quarters, with an average decline of 17.7%.
- The best year-over-year quarter for Market Capitalization over five years was the quarter ended Jun 30, 2026 (growth of 127.2%); the worst was the quarter ended Jun 30, 2024 (a decline of 94.4%).
- Per Business Quant data, LINMF's Market Capitalization in the three quarters before the quarter ended Jun 30, 2026 was $425,195 (quarter ended Mar 31, 2026), $280,696 (quarter ended Dec 31, 2025) and $280,696 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 212,597.50 |
| Mar 31, 2026 | 425,194.99 |
| Dec 31, 2025 | 280,695.98 |
| Sep 30, 2025 | 280,695.98 |
| Jun 30, 2025 | 93,565.33 |
| Mar 31, 2025 | 187,130.66 |
| Dec 31, 2024 | 297,485.67 |
| Sep 30, 2024 | 446,228.51 |
| Jun 30, 2024 | 594,971.35 |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | 4.49 Mn |
| Sep 30, 2023 | 7.39 Mn |
| Jun 30, 2023 | 10.56 Mn |
| Mar 31, 2023 | 11.61 Mn |
| Dec 31, 2022 | 3.32 Mn |
| Mar 31, 2022 | 12.77 Mn |
| Mar 31, 2021 | 9.69 Mn |
| Mar 31, 2020 | 3.00 Mn |
| Mar 31, 2019 | 4.22 Mn |
| Mar 31, 2018 | 7.02 Mn |
Linear Minerals Market Capitalization 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=market-capitalization&ticker=LINMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "ticker": "LINMF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=market-capitalization&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();