Linear Minerals (LINMF) Receivables (2009 - 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 (2009 - 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 | 179.45 Bn | 145.58 Bn | - | 7.06 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.18 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 764.12 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 716.00 Mn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 856.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 4.51 Bn |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - | 113,947.48 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113,947.48 |
| Mar 31, 2026 | 207,760.91 |
| Dec 31, 2025 | 146,614.74 |
| Sep 30, 2025 | 173,295.18 |
| Jun 30, 2025 | 322,220.09 |
| Mar 31, 2025 | 217,207.96 |
| Dec 31, 2024 | 259,261.23 |
| Sep 30, 2024 | 265,492.15 |
| Jun 30, 2024 | 228,200.66 |
| Mar 31, 2024 | 819,951.24 |
| Dec 31, 2023 | 425,284.32 |
| Sep 30, 2023 | 190,003.41 |
| Jun 30, 2023 | 204,945.53 |
| Mar 31, 2023 | 574,339.46 |
| Dec 31, 2022 | 277,893.19 |
| Mar 31, 2022 | 97,801.79 |
| Mar 31, 2021 | -92,316.76 |
| Mar 31, 2020 | 6,701.12 |
| Mar 31, 2019 | -156.40 |
| Mar 31, 2018 | 7,351.87 |
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();