Linear Minerals (LINMF) Research & Development (2009 - 2026)
Linear Minerals (LINMF) recorded Research & Development of $246,344 in the quarter ended Mar 31, 2026, up 256.6% from $69,080 a year earlier and up 220.0% from the prior quarter.
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Analysis
Linear Minerals (LINMF) Research & Development (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Linear Minerals reported Research & Development of $701,011, down 24.4% from the prior year.
- Annual Research & Development has a five-year compound annual growth rate of 30.3% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Research & Development came in at $926,678 in the year ended Mar 31, 2025 (-51.7%), $1.92 million in the year ended Mar 31, 2024 (+42.4%), $1.35 million in the year ended Mar 31, 2023 (+6.0%) and $1.27 million in the year ended Mar 31, 2022 (+581.8%).
- Quarterly Research & Development has ranged from $21,090 in the quarter ended Mar 31, 2024 to $1.05 million in the quarter ended Dec 31, 2023 over the past five years.
- On a year-over-year basis, Research & Development rose in two of the last five quarters, with growth averaging 57.1%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 680.7% in the quarter ended Dec 31, 2023, against a decline of 97.3% in the quarter ended Mar 31, 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 14.90 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 47.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 53.00 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 | 134.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | - |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 246,343.91 |
| Dec 31, 2025 | 76,994.27 |
| Jun 30, 2025 | 372,503.97 |
| Mar 31, 2025 | 69,080.45 |
| Dec 31, 2024 | 751,472.66 |
| Sep 30, 2024 | 102,124.60 |
| Mar 31, 2024 | 21,090.12 |
| Dec 31, 2023 | 1.05 Mn |
| Sep 30, 2023 | 527,069.99 |
| Jun 30, 2023 | 311,319.60 |
| Mar 31, 2023 | 782,134.23 |
| Dec 31, 2022 | 134,569.11 |
| Mar 31, 2022 | 772,106.94 |
| Mar 31, 2021 | 110,613.88 |
| Mar 31, 2019 | 56,395.45 |
| Mar 31, 2018 | 26.11 |
| Mar 31, 2016 | -2,751.73 |
| Mar 31, 2015 | 911.44 |
| Jun 30, 2014 | 109,452.14 |
| Mar 31, 2014 | 10,123.24 |
API Access
Linear Minerals Research & Development 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=research-and-development&ticker=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();