Platinum Group Metals (PLG) Operating Expenses (2009 - 2026)
Platinum Group Metals' Operating Expenses came in at $512,000 for fiscal Q3 2026 (quarter ended May 31, 2026), down 57.3% from $1.2 million a year earlier and down 78.0% from the prior quarter.
Platinum Group Metals (PLG) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Platinum Group Metals reported Operating Expenses of $6.13 million, up 46.5% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $4.79 million, down 4.3% from FY2024.
- Operating Expenses has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -14.4% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $5.01 million in FY2024 (-19.2%), $6.21 million in FY2023 (-23.2%), $8.08 million in FY2022 (-37.9%) and $13.02 million in FY2021 (+24.9%).
- The fiscal Q3 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q2 2025.
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 41.6%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2026 (growth of 421.0%), and the weakest in fiscal Q4 2022 (a decline of 78.6%).
- Business Quant data shows PLG's Operating Expenses at $2.33 million (Q2 2026), $2.04 million (Q1 2026) and $1.25 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 155.24 Bn | 134.10 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 135.87 Bn | 96.37 Bn | - | - |
| 4 | Agnico Eagle Mines | 87.85 Bn | 77.48 Bn | 2.43 Bn | 119.48 Mn |
| 5 | Barrick Mining | 64.05 Bn | 48.79 Bn | 2.90 Bn | 165.00 Mn |
| 6 | AngloGold Ashanti | 42.94 Bn | 32.61 Bn | 1.70 Bn | 37.00 Mn |
| 7 | Kinross Gold | 26.88 Bn | 17.84 Bn | 1.29 Bn | 71.50 Mn |
| 8 | Pan American Silver | 17.00 Bn | 11.86 Bn | 457,000.00 | 18,000.00 |
| 9 | Chemical & Mining Co Of Chile | 16.27 Bn | 5.29 Bn | 1.26 Bn | 52.40 Mn |
| 10 | Platinum Group Metals | 120.45 Mn | 25.57 Mn | - | 512,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 512,000.00 |
| Feb 28, 2026 | 2.33 Mn |
| Nov 30, 2025 | 2.04 Mn |
| Aug 31, 2025 | 1.25 Mn |
| May 31, 2025 | 1.20 Mn |
| Feb 28, 2025 | 447,000.00 |
| Nov 30, 2024 | 1.90 Mn |
| Aug 31, 2024 | 642,000.00 |
| May 31, 2024 | 1.75 Mn |
| Feb 29, 2024 | 924,000.00 |
| Nov 30, 2023 | 1.69 Mn |
| Aug 31, 2023 | 1.69 Mn |
| May 31, 2023 | 1.38 Mn |
| Feb 28, 2023 | 1.38 Mn |
| Nov 30, 2022 | 1.75 Mn |
| Aug 31, 2022 | 1.08 Mn |
| May 31, 2022 | 1.32 Mn |
| Feb 28, 2022 | 2.49 Mn |
| Nov 30, 2021 | 3.19 Mn |
| Aug 31, 2021 | 5.02 Mn |
Platinum Group Metals 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=PLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PLG", "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=PLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();