Linear Minerals (LINMF) Accounts Payables (2009 - 2026)
Linear Minerals (LINMF) reported Accounts Payables of $639,245 for the quarter ended Jun 30, 2026, up 26.5% from $505,163 a year earlier but down 0.2% from the prior quarter.
Linear Minerals (LINMF) Accounts Payables (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Linear Minerals posted Accounts Payables of $640,374, up 59.3% from the prior year.
- Accounts Payables has a five-year compound annual growth rate of 17.1% (years ended Mar 2021 to Mar 2026).
- By year, Accounts Payables came in at $401,952 in the year ended Mar 31, 2025 (+128.9%), $175,571 in the year ended Mar 31, 2024 (-90.2%), $1.8 million in the year ended Mar 31, 2023 (+767.9%) and $207,473 in the year ended Mar 31, 2022 (-28.6%).
- Five-year quarterly Accounts Payables spans a low of $169,666 in the quarter ended Jun 30, 2024 and a high of $1.8 million in the quarter ended Mar 31, 2023.
- Year over year, Accounts Payables gained in five of the last seven quarters, with growth averaging 66.8%.
- The high point for year-over-year Accounts Payables in five years was the quarter ended Mar 31, 2023 (growth of 767.9%); the low point was the quarter ended Mar 31, 2024 (a decline of 90.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $640,374 (quarter ended Mar 31, 2026), $369,482 (quarter ended Dec 31, 2025) and $377,362 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | -9.71 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 871.90 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 906.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 1.19 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 4.58 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 1.28 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 2.08 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 2.36 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 12.93 Bn |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - | 639,244.50 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 639,244.50 |
| Mar 31, 2026 | 640,373.85 |
| Dec 31, 2025 | 369,481.58 |
| Sep 30, 2025 | 377,361.90 |
| Jun 30, 2025 | 505,162.66 |
| Mar 31, 2025 | 389,412.53 |
| Dec 31, 2024 | 385,814.77 |
| Sep 30, 2024 | 217,196.39 |
| Jun 30, 2024 | 169,666.28 |
| Mar 31, 2024 | 175,571.37 |
| Dec 31, 2023 | 440,107.98 |
| Mar 31, 2023 | 1.80 Mn |
| Mar 31, 2022 | 207,472.56 |
| Mar 31, 2021 | 303,368.04 |
| Mar 31, 2020 | 130,728.47 |
| Mar 31, 2019 | 59,158.83 |
| Mar 31, 2018 | 108,197.96 |
| Mar 31, 2017 | 26,871.64 |
| Mar 31, 2016 | 17,026.94 |
| Mar 31, 2015 | 78,943.95 |
Linear Minerals Accounts Payables 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=accounts-payables&ticker=LINMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();