Linear Minerals (LINMF) Assets (2009 - 2026)
Linear Minerals' Assets was $3.97 million in the quarter ended Jun 30, 2026, down 20.4% from $4.99 million a year earlier and down 3.3% from the prior quarter.
Linear Minerals (LINMF) Assets (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Assets at Linear Minerals came in at $4.1 million, down 20.8% from the prior year.
- Assets has now declined for three consecutive years, though with a five-year compound annual growth rate of 11.3% (years ended Mar 2021 to Mar 2026).
- In earlier years, Assets was $5.18 million in the year ended Mar 31, 2025 (-24.9%), $6.9 million in the year ended Mar 31, 2024 (-28.3%), $9.62 million in the year ended Mar 31, 2023 (+76.6%) and $5.45 million in the year ended Mar 31, 2022 (+126.4%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Assets since the quarter ended Mar 31, 2021.
- Compared with a year earlier, Assets has declined for seven straight quarters, with an average decline of 23.4% over the last seven quarters.
- The best year-over-year quarter for Assets over five years was the quarter ended Mar 31, 2022 (growth of 117.0%); the worst was the quarter ended Mar 31, 2024 (a decline of 28.3%).
- Per Business Quant data, LINMF's Assets in the three quarters before the quarter ended Jun 30, 2026 was $4.1 million (quarter ended Mar 31, 2026), $4.77 million (quarter ended Dec 31, 2025) and $4.86 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 133.50 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 24.13 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 57.64 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 24.55 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 59.73 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 37.80 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 52.35 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 36.95 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 99.15 Bn |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - | 3.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.97 Mn |
| Mar 31, 2026 | 4.10 Mn |
| Dec 31, 2025 | 4.77 Mn |
| Sep 30, 2025 | 4.86 Mn |
| Jun 30, 2025 | 4.99 Mn |
| Mar 31, 2025 | 5.02 Mn |
| Dec 31, 2024 | 6.08 Mn |
| Sep 30, 2024 | 6.59 Mn |
| Jun 30, 2024 | 6.83 Mn |
| Mar 31, 2024 | 6.90 Mn |
| Dec 31, 2023 | 7.88 Mn |
| Mar 31, 2023 | 9.62 Mn |
| Mar 31, 2022 | 5.45 Mn |
| Mar 31, 2021 | 2.51 Mn |
| Mar 31, 2020 | 277,680.89 |
| Mar 31, 2019 | 245,778.13 |
| Mar 31, 2018 | 326,918.42 |
| Mar 31, 2017 | 454,816.91 |
| Mar 31, 2016 | 35,180.21 |
| Mar 31, 2015 | 76,601.87 |
Linear Minerals Assets 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=assets&ticker=LINMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();