Linear Minerals (LINMF) Accumulated Expenses (2022 - 2026)
Linear Minerals' Accumulated Expenses was $640,374 in the quarter ended Mar 31, 2026, up 64.4% from $389,413 a year earlier.
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Analysis
Linear Minerals (LINMF) Accumulated Expenses (2022 - 2026) Analysis & Trends
From the quarter ended Mar 31, 2022 onward, Linear Minerals has reported Accumulated Expenses for 5 quarters.
- Accumulated Expenses shows a four-year compound annual growth rate of 32.5% (years ended Mar 2022 to Mar 2026).
- In earlier years, Accumulated Expenses was $401,952 in the year ended Mar 31, 2025 (+128.9%), $175,571 in the year ended Mar 31, 2024 (-90.2%), $1.8 million in the year ended Mar 31, 2023 (+767.9%) and $207,473 in the year ended Mar 31, 2022.
- The figure for the quarter ended Mar 31, 2026 marks the highest quarterly Accumulated Expenses since the quarter ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 640,373.85 |
| Mar 31, 2025 | 389,412.53 |
| Mar 31, 2024 | 175,571.37 |
| Mar 31, 2023 | 1.80 Mn |
| Mar 31, 2022 | 207,472.56 |
API Access
Linear Minerals Accumulated 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=accumulated-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();