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 | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | -780.00 Mn |
| 10 | Platinum Group Metals | 145.22 Mn | 169.89 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();