Idaho Copper (COPR) Operating Expenses (2010 - 2026)
Idaho Copper's Operating Expenses came in at $1.07 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 53.0% from $701,469 a year earlier but down 19.9% from the prior quarter.
Idaho Copper (COPR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Idaho Copper reported Operating Expenses of $3.77 million, down 7.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $2.62 million, down 44.4% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 84.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $4.72 million in FY2025 (+57.1%), $3 million in FY2024 and $74,708 in FY2022 (-38.7%).
- The five-year range for quarterly Operating Expenses is $398,940 (fiscal Q2 2024) to $2.2 million (fiscal Q3 2025).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 50.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2025 (growth of 404.9%), and the weakest in fiscal Q3 2026 (a decline of 69.6%).
- Business Quant data shows COPR's Operating Expenses at $1.34 million (Q1 2027), $689,083 (Q4 2026) and $669,987 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Idaho Copper | 47.64 Mn | 35.33 Mn | - | 1.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.07 Mn |
| Apr 30, 2026 | 1.34 Mn |
| Jan 31, 2026 | 689,083.00 |
| Oct 31, 2025 | 669,987.00 |
| Jul 31, 2025 | 701,469.00 |
| Apr 30, 2025 | 563,138.00 |
| Jan 31, 2025 | 598,133.00 |
| Oct 31, 2024 | 2.20 Mn |
| Jul 31, 2024 | 943,460.00 |
| Apr 30, 2024 | 974,962.00 |
| Jan 31, 2024 | 1.77 Mn |
| Oct 31, 2023 | 436,726.00 |
| Jul 31, 2023 | 398,940.00 |
| Apr 30, 2023 | 401,156.00 |
| Dec 31, 2022 | 24,064.00 |
| Sep 30, 2022 | 10,015.00 |
| Jun 30, 2022 | 30,295.00 |
| Mar 31, 2022 | 10,334.00 |
| Dec 31, 2021 | 14,347.00 |
| Sep 30, 2021 | 10,884.00 |
Idaho Copper Operating Expenses 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=operating-expenses&ticker=COPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "COPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=COPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();