Linear Minerals (LINMF) Other Accumulated Expenses (2009 - 2026)
Linear Minerals (LINMF) recorded Other Accumulated Expenses of $179,518 in the quarter ended Jun 30, 2026, up 149.8% from $71,865 a year earlier and up 3.6% from the prior quarter.
Linear Minerals (LINMF) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Linear Minerals reported Other Accumulated Expenses of $173,212, up 68.5% from the prior year.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 20.4% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Other Accumulated Expenses came in at $102,788 in the year ended Mar 31, 2025 (-45.7%), $189,142 in the year ended Mar 31, 2024 (-33.6%), $284,691 in the year ended Mar 31, 2023 (+876.6%) and $29,150 in the year ended Mar 31, 2022 (-57.4%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Other Accumulated Expenses since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 38.7% over the last seven quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 876.6% in the quarter ended Mar 31, 2023, against a decline of 80.9% in the quarter ended Dec 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $173,212 (quarter ended Mar 31, 2026), $79,623 (quarter ended Dec 31, 2025) and $92,788 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Linear Minerals | 1.59 Mn | 1.59 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179,518.25 |
| Mar 31, 2026 | 173,211.87 |
| Dec 31, 2025 | 79,623.11 |
| Sep 30, 2025 | 92,787.66 |
| Jun 30, 2025 | 71,865.24 |
| Mar 31, 2025 | 99,581.70 |
| Dec 31, 2024 | 21,520.57 |
| Sep 30, 2024 | 145,102.79 |
| Jun 30, 2024 | 172,459.24 |
| Mar 31, 2024 | 189,141.65 |
| Dec 31, 2023 | 112,837.14 |
| Mar 31, 2023 | 284,691.38 |
| Mar 31, 2022 | 29,149.80 |
| Mar 31, 2021 | 71,397.31 |
| Mar 31, 2020 | 37,828.79 |
| Mar 31, 2019 | 35,229.11 |
| Mar 31, 2018 | 33,286.75 |
| Mar 31, 2017 | 42,776.02 |
| Mar 31, 2016 | 166,423.37 |
| Mar 31, 2015 | 228,854.55 |
Linear Minerals Other 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=other-accumulated-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();