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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 133.50 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 24.13 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 57.64 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 59.73 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 37.80 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 52.35 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 36.95 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 99.15 Bn |
| 10 | Linear Minerals | 1.49 Mn | 428,675.57 | - | 3.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.87 Mn |
| Mar 31, 2026 | 4.04 Mn |
| Dec 31, 2025 | 4.85 Mn |
| Sep 30, 2025 | 4.81 Mn |
| Jun 30, 2025 | 5.05 Mn |
| Mar 31, 2025 | 5.03 Mn |
| Dec 31, 2024 | 5.92 Mn |
| Sep 30, 2024 | 6.66 Mn |
| Jun 30, 2024 | 6.82 Mn |
| Mar 31, 2024 | 6.87 Mn |
| Dec 31, 2023 | 8.11 Mn |
| Mar 31, 2023 | 9.62 Mn |
| Mar 31, 2022 | 5.53 Mn |
| Mar 31, 2021 | 2.52 Mn |
| Mar 31, 2020 | 262,562.16 |
| Mar 31, 2019 | 243,370.68 |
| Mar 31, 2018 | 320,626.23 |
| Mar 31, 2017 | 451,609.96 |
| Mar 31, 2016 | 37,211.60 |
| Mar 31, 2015 | 74,739.01 |
API Access
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_KEYimport 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();