Linear Minerals (LINMF) Other Operating Expenses (2010 - 2026)
Linear Minerals' Other Operating Expenses was $10,844 in the quarter ended Jun 30, 2026, up 0.2% from $10,826 a year earlier but down 72.2% from the prior quarter.
Linear Minerals (LINMF) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Linear Minerals' Other Operating Expenses was $126,158 through Jun 30, 2026, up 46.9% year-over-year; for the year ended Mar 31, 2026, it was $126,928, up 47.3% from the prior year.
- Other Operating Expenses shows a five-year compound annual growth rate of 22.7% (years ended Mar 2021 to Mar 2026).
- In earlier years, Other Operating Expenses was $86,155 in the year ended Mar 31, 2025 (-12.1%), $98,062 in the year ended Mar 31, 2024 (-8.2%), $106,809 in the year ended Mar 31, 2023 (+55.2%) and $68,817 in the year ended Mar 31, 2022 (+50.6%).
- Quarterly Other Operating Expenses has moved between $10,826 (the quarter ended Jun 30, 2025) and $74,358 (the quarter ended Mar 31, 2023) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in five of the last eight quarters, with growth averaging 40.4%.
- The best year-over-year quarter for Other Operating Expenses over five years was the quarter ended Mar 31, 2026 (growth of 173.5%); the worst was the quarter ended Mar 31, 2025 (a decline of 67.6%).
- Per Business Quant data, LINMF's Other Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $39,013 (quarter ended Mar 31, 2026), $30,369 (quarter ended Dec 31, 2025) and $45,933 (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 10,843.88 |
| Mar 31, 2026 | 39,012.50 |
| Dec 31, 2025 | 30,369.32 |
| Sep 30, 2025 | 45,932.78 |
| Jun 30, 2025 | 10,825.69 |
| Mar 31, 2025 | 14,265.18 |
| Dec 31, 2024 | 40,949.43 |
| Sep 30, 2024 | 19,861.35 |
| Jun 30, 2024 | 10,967.11 |
| Mar 31, 2024 | 44,045.90 |
| Dec 31, 2023 | 21,171.52 |
| Sep 30, 2023 | 16,651.41 |
| Jun 30, 2023 | 16,110.70 |
| Mar 31, 2023 | 74,357.98 |
| Dec 31, 2022 | 13,076.48 |
| Mar 31, 2018 | 67,437.49 |
| Mar 31, 2015 | 22,006.29 |
| Jun 30, 2014 | 16,386.93 |
| Mar 31, 2014 | 32,122.89 |
| Dec 31, 2013 | 42,587.84 |
Linear Minerals Other 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=other-operating-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();