Linear Minerals (LINMF) Total Liabilities (2009 - 2026)
Linear Minerals' Total Liabilities came in at $829,607 for the quarter ended Jun 30, 2026, up 26.5% from $656,037 a year earlier and up 0.6% from the prior quarter.
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Analysis
Linear Minerals (LINMF) Total Liabilities (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Linear Minerals' Total Liabilities was $824,524, up 24.6% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 9.1% (years ended Mar 2021 to Mar 2026).
- Going back by year, Total Liabilities was $661,709 in the year ended Mar 31, 2025 (+37.0%), $483,139 in the year ended Mar 31, 2024 (-81.4%), $2.6 million in the year ended Mar 31, 2023 (+667.2%) and $338,629 in the year ended Mar 31, 2022 (-36.5%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Total Liabilities since the quarter ended Mar 31, 2023.
- Year-over-year, Total Liabilities increased in five of the last seven quarters, with growth averaging 13.5%.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Mar 31, 2023 (growth of 667.2%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 81.4%).
- Business Quant data shows LINMF's Total Liabilities at $824,524 (quarter ended Mar 31, 2026), $538,363 (quarter ended Dec 31, 2025) and $549,697 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 44.33 Bn |
| 10 | Linear Minerals | 1.49 Mn | 428,675.57 | - | 807,635.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 807,635.28 |
| Mar 31, 2026 | 811,811.17 |
| Dec 31, 2025 | 548,215.71 |
| Sep 30, 2025 | 543,608.85 |
| Jun 30, 2025 | -41.60 Mn |
| Mar 31, 2025 | 642,850.38 |
| Dec 31, 2024 | -36.82 Mn |
| Sep 30, 2024 | -37.31 Mn |
| Jun 30, 2024 | -36.54 Mn |
| Mar 31, 2024 | 480,962.60 |
| Dec 31, 2023 | -36.55 Mn |
| Mar 31, 2023 | 2.60 Mn |
| Mar 31, 2022 | 343,629.78 |
| Mar 31, 2021 | 558,068.46 |
| Mar 31, 2020 | 159,379.92 |
| Mar 31, 2019 | 93,711.33 |
| Mar 31, 2018 | 198,022.05 |
| Mar 31, 2017 | 69,086.07 |
| Mar 31, 2016 | 194,417.65 |
| Mar 31, 2015 | 300,410.29 |
API Access
Linear Minerals Total Liabilities 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=total-liabilities&ticker=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();