Newmont (NEM) Selling, General & Administrative (2009 - 2026)
Newmont (NEM) reported Selling, General & Administrative of $74 million for Q2 2026, down 22.1% from $95 million a year earlier and down 6.3% from the prior quarter.
Newmont (NEM) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Newmont's Selling, General & Administrative came in at $330 million, down 26.0% year-over-year; for FY2025, it was $382 million, down 13.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $442 million in FY2024 (+47.8%), $299 million in FY2023 (+8.3%), $276 million in FY2022 (+6.6%) and $259 million in FY2021 (-3.7%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q3 2023.
- Year over year, Selling, General & Administrative has now declined in each of the last five quarters, with growth averaging 1.8% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2024 (growth of 61.4%); the low point was Q4 2025 (a decline of 28.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $79 million (Q1 2026), $91 million (Q4 2025) and $86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | - |
| 10 | AngloGold Ashanti | 43.01 Bn | 32.68 Bn | 1.70 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 82.00 Mn |
| Jun 30, 2026 | 74.00 Mn |
| Mar 31, 2026 | 79.00 Mn |
| Dec 31, 2025 | 91.00 Mn |
| Sep 30, 2025 | 86.00 Mn |
| Jun 30, 2025 | 95.00 Mn |
| Mar 31, 2025 | 110.00 Mn |
| Dec 31, 2024 | 128.00 Mn |
| Sep 30, 2024 | 113.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 101.00 Mn |
| Dec 31, 2023 | 84.00 Mn |
| Sep 30, 2023 | 70.00 Mn |
| Jun 30, 2023 | 71.00 Mn |
| Mar 31, 2023 | 74.00 Mn |
| Dec 31, 2022 | 66.00 Mn |
| Sep 30, 2022 | 73.00 Mn |
| Jun 30, 2022 | 73.00 Mn |
| Mar 31, 2022 | 64.00 Mn |
| Dec 31, 2021 | 69.00 Mn |
Newmont Selling, General & Administrative 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=selling-general-and-administrative&ticker=NEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();