Linear Minerals (LINMF) Operating Expenses (2009 - 2026)
Linear Minerals (LINMF) reported Operating Expenses of $87.47 for the quarter ended Jun 30, 2026, down 100.0% from $374,974 a year earlier and down 100.0% from the prior quarter.
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Analysis
Linear Minerals (LINMF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Linear Minerals' Operating Expenses came in at $386,292, down 71.1% year-over-year; for the year ended Mar 31, 2026, it was $766,284, down 20.8% from the prior year.
- Operating Expenses has a five-year compound annual growth rate of 31.4% (years ended Mar 2021 to Mar 2026).
- By year, Operating Expenses came in at $967,659 in the year ended Mar 31, 2025 (-49.9%), $1.93 million in the year ended Mar 31, 2024 (+41.9%), $1.36 million in the year ended Mar 31, 2023 (+6.0%) and $1.28 million in the year ended Mar 31, 2022 (+556.1%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Operating Expenses since the quarter ended Jun 30, 2011.
- Year over year, Operating Expenses gained in two of the last seven quarters, with growth averaging 19.0%.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Dec 31, 2023 (growth of 666.1%); the low point was the quarter ended Jun 30, 2026 (a decline of 100.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $303,491 (quarter ended Mar 31, 2026), $68,884 (quarter ended Dec 31, 2025) and $13,829 (quarter ended Sep 30, 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 | 163.80 Bn | 142.58 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 142.07 Bn | 102.57 Bn | - | - |
| 4 | Newmont | 124.32 Bn | 92.32 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 97.19 Bn | 81.24 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.58 Bn | 83.21 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 68.91 Bn | 44.11 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 58.08 Bn | 47.46 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 47.34 Bn | 26.36 Bn | - | -780.00 Mn |
| 10 | Linear Minerals | 1.49 Mn | 428,675.57 | - | 87.47 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.47 |
| Mar 31, 2026 | 303,491.03 |
| Dec 31, 2025 | 68,884.03 |
| Sep 30, 2025 | 13,829.32 |
| Jun 30, 2025 | 374,973.67 |
| Mar 31, 2025 | 93,604.94 |
| Dec 31, 2024 | 761,439.42 |
| Sep 30, 2024 | 104,811.24 |
| Jun 30, 2024 | 3,064.21 |
| Mar 31, 2024 | 23,747.62 |
| Dec 31, 2023 | 1.05 Mn |
| Sep 30, 2023 | 530,300.62 |
| Jun 30, 2023 | 314,687.50 |
| Mar 31, 2023 | 785,268.32 |
| Dec 31, 2022 | 137,557.91 |
| Mar 31, 2021 | 391,099.07 |
| Mar 31, 2020 | 167,826.28 |
| Mar 31, 2019 | 211,294.95 |
| Mar 31, 2018 | 141,646.90 |
| Mar 31, 2015 | 13,026.18 |
API Access
Linear Minerals 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=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();