Linear Minerals (LINMF) Receivables (2010 - 2026)
Linear Minerals (LINMF) reported Receivables of $113,947 for the quarter ended Jun 30, 2026, down 64.6% from $322,220 a year earlier and down 45.2% from the prior quarter.
Linear Minerals (LINMF) Receivables (2010 - 2026) Analysis & Trends
As of Mar 31, 2026, Linear Minerals posted Receivables of $207,761, down 7.3% from the prior year.
- Receivables has declined for three consecutive years, though with a five-year compound annual growth rate of 17.2% (years ended Mar 2021 to Mar 2026).
- By year, Receivables came in at $224,202 in the year ended Mar 31, 2025 (-72.7%), $819,951 in the year ended Mar 31, 2024 (-49.8%), $1.63 million in the year ended Mar 31, 2023 (+33.3%) and $1.23 million in the year ended Mar 31, 2022.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Receivables since the quarter ended Mar 31, 2022.
- Year over year, Receivables has now declined in each of the last four quarters, with an average decline of 22.3% over the last eight quarters.
- The high point for year-over-year Receivables in five years was the quarter ended Mar 31, 2023 (growth of 487.2%); the low point was the quarter ended Mar 31, 2025 (a decline of 73.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $207,761 (quarter ended Mar 31, 2026), $146,615 (quarter ended Dec 31, 2025) and $173,295 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 4.66 Bn |
| 2 | Southern Copper | 162.84 Bn | 141.62 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Rio Tinto | 141.31 Bn | 101.81 Bn | - | 5.00 Bn |
| 4 | Newmont | 124.18 Bn | 92.18 Bn | 4.03 Bn | 1.18 Bn |
| 5 | Freeport-Mcmoran | 98.62 Bn | 82.66 Bn | 2.19 Bn | 716.00 Mn |
| 6 | Agnico Eagle Mines | 93.79 Bn | 83.42 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.36 Bn | 44.55 Bn | 2.90 Bn | 856.00 Mn |
| 8 | Nucor | 60.12 Bn | 49.50 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 48.51 Bn | 27.53 Bn | - | 4.51 Bn |
| 10 | Linear Minerals | 1.38 Mn | 322,376.77 | - | 110,929.69 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110,929.69 |
| Mar 31, 2026 | 204,557.62 |
| Dec 31, 2025 | 149,297.90 |
| Sep 30, 2025 | 171,375.79 |
| Jun 30, 2025 | 326,330.64 |
| Mar 31, 2025 | 217,812.45 |
| Dec 31, 2024 | 88,070.21 |
| Sep 30, 2024 | 55,234.37 |
| Jun 30, 2024 | 91,006.11 |
| Mar 31, 2024 | 645,372.32 |
| Dec 31, 2023 | 437,642.84 |
| Mar 31, 2023 | 1.63 Mn |
| Mar 31, 2022 | 1.24 Mn |
| Mar 31, 2021 | 98,157.02 |
| Mar 31, 2020 | 4,965.19 |
| Mar 31, 2019 | 11,931.05 |
| Mar 31, 2018 | 12,272.83 |
| Mar 31, 2017 | 18,832.18 |
| Mar 31, 2016 | 10,703.11 |
| Mar 31, 2015 | 17,963.75 |
Linear Minerals Receivables 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=receivables&ticker=LINMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();