Linear Minerals (LINMF) Change in Accured Expenses (2009 - 2026)
Linear Minerals (LINMF) posted Change in Accured Expenses of $4.39 billion for the quarter ended Jun 30, 2026, compared with $128,959 a year earlier.
Powered by 
Analysis
Linear Minerals (LINMF) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Linear Minerals was $4.37 billion, up 31.6% year-over-year; for the year ended Mar 31, 2026, it came in at $260,264, up 27.1% from the prior year.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 12.6% (years ended Mar 2021 to Mar 2026).
- In prior years, Linear Minerals' Change in Accured Expenses was $204,788 in the year ended Mar 31, 2025, -$247,734 in the year ended Mar 31, 2024, $263,041 in the year ended Mar 31, 2023 and -$14,340 in the year ended Mar 31, 2022.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Change in Accured Expenses since the quarter ended Jun 30, 2011.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $275,586 (quarter ended Mar 31, 2026), $1.39 billion (quarter ended Dec 31, 2025) and -$1.41 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 107.70 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | -166.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 309.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | -106.54 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | - |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 298.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Linear Minerals | 1.59 Mn | 1.59 Mn | - | 4.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.39 Bn |
| Mar 31, 2026 | 275,585.79 |
| Dec 31, 2025 | 1.39 Bn |
| Sep 30, 2025 | -1.41 Bn |
| Jun 30, 2025 | 128,959.20 |
| Mar 31, 2025 | 156,788.78 |
| Sep 30, 2024 | 3.32 Bn |
| Jun 30, 2024 | -3.31 Bn |
| Mar 31, 2024 | -169,633.72 |
| Dec 31, 2023 | 220,849.12 |
| Sep 30, 2023 | 3,399.21 |
| Jun 30, 2023 | -305,569.45 |
| Mar 31, 2023 | 355,211.81 |
| Jun 30, 2014 | 54,531.76 |
| Mar 31, 2014 | 22,103.15 |
| Dec 31, 2013 | -286,425.91 |
| Sep 30, 2013 | 209,730.94 |
| Jun 30, 2013 | -15,777.13 |
| Mar 31, 2013 | 89,978.37 |
| Dec 31, 2012 | 14,235.72 |
API Access
Linear Minerals Change in Accured 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=change-in-accured-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();