Newmont (NEM) Accumulated Expenses (2009 - 2015)
Newmont (NEM) posted Accumulated Expenses of $708.0 million for Q2 2026, down 10.94% on a QoQ basis from $795.0 million in Q1 2026, and up 25.98% year-over-year from $562.0 million in Q2 2025.
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Analysis
Newmont (NEM) Accumulated Expenses (2009 - 2015) Analysis & Trends
Newmont has reported Accumulated Expenses for 18 years, with the latest figure at $708.0 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 25.98% year-over-year to $708.0 million in Q2 2026; TTM through Jun 2026 was $708.0 million, a 25.98% increase from a year earlier, with the FY2025 full-year figure at $898.0 million, up 42.54% from the prior year.
- Accumulated Expenses was $708.0 million for Q2 2026 at Newmont, down from $795.0 million in the prior quarter.
- The five-year high for Accumulated Expenses was $898.0 million in Q4 2025, with the low at $302.0 million in Q1 2023.
- Average Accumulated Expenses over 5 years is $519.0 million, with a median of $486.5 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2023: Accumulated Expenses soared 59.12% in 2022, then slumped 33.55% in 2023.
- Over 5 years, Accumulated Expenses stood at $399.0 million in 2022, then surged by 38.1% to $551.0 million in 2023, then grew by 14.34% to $630.0 million in 2024, then surged by 42.54% to $898.0 million in 2025, then declined by 21.16% to $708.0 million in 2026.
- The last three Accumulated Expenses figures came in at $708.0 million (Q2 2026), $795.0 million (Q1 2026), and $898.0 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 97.22 Bn | 97.22 Bn | 2.43 Bn |
| 7 | Barrick Mining | 71.84 Bn | 56.58 Bn | 2.90 Bn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 94.00 Mn |
| Dec 31, 2014 | 99.00 Mn |
| Sep 30, 2014 | 126.00 Mn |
| Jun 30, 2014 | 135.00 Mn |
| Mar 31, 2014 | 156.00 Mn |
| Dec 31, 2013 | 157.00 Mn |
| Sep 30, 2013 | 213.00 Mn |
| Jun 30, 2013 | 169.00 Mn |
| Mar 31, 2013 | 261.00 Mn |
| Dec 31, 2012 | 336.00 Mn |
| Sep 30, 2012 | 228.00 Mn |
| Jun 30, 2012 | 237.00 Mn |
| Mar 31, 2012 | 267.00 Mn |
| Dec 31, 2011 | 248.00 Mn |
| Sep 30, 2011 | 245.00 Mn |
| Jun 30, 2011 | 249.00 Mn |
| Mar 31, 2011 | 240.00 Mn |
| Dec 31, 2010 | 217.00 Mn |
| Sep 30, 2010 | 203.00 Mn |
| Dec 31, 2009 | 131.00 Mn |
API Access
Newmont Accumulated 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=accumulated-expenses&ticker=NEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();