Linear Minerals (LINMF) Exchange Rate Effect (2009 - 2026)
Linear Minerals (LINMF) recorded Exchange Rate Effect of $129,615 in the quarter ended Jun 30, 2026, down 62.8% from $348,839 a year earlier and down 62.8% from the prior quarter.
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Analysis
Linear Minerals (LINMF) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a TTM basis, Linear Minerals' Exchange Rate Effect came in at $471,376 as of Jun 30, 2026, up 209.8% year-over-year; for the year ended Mar 31, 2026, it was $694,063, down 43.4% from the prior year.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of -15.7% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Exchange Rate Effect came in at $1.23 million in the year ended Mar 31, 2025 (-54.9%), $2.72 million in the year ended Mar 31, 2024 (+0.3%), $2.71 million in the year ended Mar 31, 2023 (+59.1%) and $1.7 million in the year ended Mar 31, 2022 (+4.3%).
- Quarterly Exchange Rate Effect has ranged from -$1.13 million in the quarter ended Sep 30, 2023 to $2.87 million in the quarter ended Jun 30, 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at $348,851 (quarter ended Mar 31, 2026), -$10,017 (quarter ended Dec 31, 2025) and $2,928 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | -2.70 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | -17.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -726,000.00 |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | -1.73 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | - |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | -6.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -35.00 Mn |
| 10 | Linear Minerals | 1.38 Mn | 1.38 Mn | - | 129,614.72 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129,614.72 |
| Mar 31, 2026 | 348,850.54 |
| Dec 31, 2025 | -10,016.98 |
| Sep 30, 2025 | 2,927.61 |
| Jun 30, 2025 | 348,839.01 |
| Mar 31, 2025 | -17,625.71 |
| Sep 30, 2024 | -179,073.22 |
| Jun 30, 2024 | 1.44 Mn |
| Mar 31, 2024 | 1.13 Mn |
| Dec 31, 2023 | -140,072.99 |
| Sep 30, 2023 | -1.13 Mn |
| Jun 30, 2023 | 2.87 Mn |
| Mar 31, 2023 | -189,240.22 |
| Jun 30, 2014 | 439.94 |
| Mar 31, 2014 | -586.51 |
| Dec 31, 2013 | -496.69 |
| Sep 30, 2013 | 444.72 |
| Jun 30, 2013 | 212.19 |
| Mar 31, 2013 | -714.97 |
| Dec 31, 2012 | -35.32 |
API Access
Linear Minerals Exchange Rate Effect 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=exchange-rate-effect&ticker=LINMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=LINMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();