Linear Minerals (LINMF) Cash & Equivalents (2009 - 2026)
Linear Minerals (LINMF) recorded Cash & Equivalents of $129,615 in the quarter ended Jun 30, 2026, down 62.8% from $348,839 a year earlier and down 46.2% from the prior quarter.
Linear Minerals (LINMF) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Linear Minerals reported Cash & Equivalents of $241,131, down 64.8% from the prior year.
- Annual Cash & Equivalents has declined for three straight years, with a five-year compound annual growth rate of -31.8% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Cash & Equivalents came in at $684,690 in the year ended Mar 31, 2025 (-45.9%), $1.27 million in the year ended Mar 31, 2024 (-53.3%), $2.71 million in the year ended Mar 31, 2023 and $88,015 in the year ended Mar 31, 2022 (-94.6%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Cash & Equivalents since the quarter ended Mar 31, 2022.
- On a year-over-year basis, Cash & Equivalents has declined for seven consecutive quarters, with an average decline of 61.1% over the last seven quarters.
- Across the past five years, year-over-year decline in Cash & Equivalents ran from 45.2% in the quarter ended Dec 31, 2024 to 94.8% in the quarter ended Mar 31, 2022.
- Per Business Quant, the preceding three quarters came in at $241,131 (quarter ended Mar 31, 2026), $339,475 (quarter ended Dec 31, 2025) and $354,146 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 8.91 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 5.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 8.87 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 9.01 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 4.08 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 3.46 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 5.93 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 2.48 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 4.85 Bn |
| 10 | Linear Minerals | 1.49 Mn | 428,675.57 | - | 126,181.99 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126,181.99 |
| Mar 31, 2026 | 237,413.03 |
| Dec 31, 2025 | 345,687.73 |
| Sep 30, 2025 | 350,223.46 |
| Jun 30, 2025 | 353,289.14 |
| Mar 31, 2025 | 665,176.03 |
| Dec 31, 2024 | 839,310.60 |
| Sep 30, 2024 | 1.28 Mn |
| Jun 30, 2024 | 1.44 Mn |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 1.62 Mn |
| Mar 31, 2023 | 2.71 Mn |
| Mar 31, 2022 | 89,315.27 |
| Mar 31, 2021 | 1.71 Mn |
| Mar 31, 2020 | 157,446.74 |
| Mar 31, 2019 | 161,449.68 |
| Mar 31, 2018 | 292,057.90 |
| Mar 31, 2017 | 27,021.19 |
| Mar 31, 2016 | 596.46 |
| Mar 31, 2015 | 2,230.67 |
Linear Minerals Cash & Equivalents 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=cash-and-equivalents&ticker=LINMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();