Newmont (NEM) Operating Expenses (2009 - 2026)
Newmont (NEM) reported Operating Expenses of $3.02 billion for Q2 2026, up 34.4% from $2.25 billion a year earlier and up 6.4% from the prior quarter.
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Analysis
Newmont (NEM) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Newmont's Operating Expenses came in at $12.56 billion, up 3.1% year-over-year; for FY2025, it came in at $11.71 billion, down 17.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $14.16 billion in FY2024 (+4.8%), $13.51 billion in FY2023 (+15.4%), $11.71 billion in FY2022 (+6.8%) and $10.97 billion in FY2021 (+26.2%).
- Five-year quarterly Operating Expenses spans a low of $2.17 billion in Q1 2023 and a high of $6.77 billion in Q4 2023.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with an average decline of 3.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2024 (growth of 66.7%); the low point was Q4 2024 (a decline of 45.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.84 billion (Q1 2026), $3.75 billion (Q4 2025) and $2.95 billion (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 | 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 | AngloGold Ashanti | 47.78 Bn | 37.45 Bn | 1.70 Bn | -82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.02 Bn |
| Mar 31, 2026 | 2.84 Bn |
| Dec 31, 2025 | 3.75 Bn |
| Sep 30, 2025 | 2.95 Bn |
| Jun 30, 2025 | 2.25 Bn |
| Mar 31, 2025 | 2.76 Bn |
| Dec 31, 2024 | 3.69 Bn |
| Sep 30, 2024 | 3.48 Bn |
| Jun 30, 2024 | 3.36 Bn |
| Mar 31, 2024 | 3.62 Bn |
| Dec 31, 2023 | 6.77 Bn |
| Sep 30, 2023 | 2.26 Bn |
| Jun 30, 2023 | 2.32 Bn |
| Mar 31, 2023 | 2.17 Bn |
| Dec 31, 2022 | 4.63 Bn |
| Sep 30, 2022 | 2.34 Bn |
| Jun 30, 2022 | 2.52 Bn |
| Mar 31, 2022 | 2.22 Bn |
| Dec 31, 2021 | 4.02 Bn |
| Sep 30, 2021 | 2.83 Bn |
API Access
Newmont 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=NEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NEM", "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=NEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();