NexMetals Mining (NEXM) Operating Expenses (2017 - 2026)
NexMetals Mining (NEXM) reported Operating Expenses of $8.65 million for Q2 2026, down 21.6% from $11.03 million a year earlier but up 10.1% from the prior quarter.
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Analysis
NexMetals Mining (NEXM) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NexMetals Mining's Operating Expenses came in at $37.42 million, up 12.6% year-over-year; for FY2025, it came in at $38.01 million, up 31.2% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 109.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $28.98 million in FY2024 (+29.0%), $22.47 million in FY2023 (+13.4%), $19.81 million in FY2022 and $447,970 in FY2021 (-52.8%).
- Five-year quarterly Operating Expenses spans a low of $77,392 in Q3 2021 and a high of $11.32 million in Q3 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 24.9%.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 224.9%); the low point was Q3 2021 (a decline of 67.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.86 million (Q1 2026), $9.6 million (Q4 2025) and $11.32 million (Q3 2025).
Peer Set
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 | NexMetals Mining | 71.30 Mn | 71.30 Mn | - | 8.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.65 Mn |
| Mar 31, 2026 | 7.86 Mn |
| Dec 31, 2025 | 9.60 Mn |
| Sep 30, 2025 | 11.32 Mn |
| Jun 30, 2025 | 11.03 Mn |
| Mar 31, 2025 | 6.19 Mn |
| Dec 31, 2024 | 7.77 Mn |
| Sep 30, 2024 | 8.23 Mn |
| Jun 30, 2024 | 6.67 Mn |
| Mar 31, 2024 | 6.36 Mn |
| Dec 31, 2023 | 7.14 Mn |
| Sep 30, 2023 | 5.10 Mn |
| Jun 30, 2023 | 5.72 Mn |
| Mar 31, 2023 | 4.55 Mn |
| Dec 31, 2022 | 3.57 Mn |
| Sep 30, 2022 | 1.57 Mn |
| Jun 30, 2022 | 482,526.37 |
| Mar 31, 2022 | 172,226.43 |
| Dec 31, 2021 | 237,155.13 |
| Sep 30, 2021 | 77,392.15 |
API Access
NexMetals Mining 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=NEXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NEXM", "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=NEXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();