Newmont (NEM) Other Accumulated Expenses (2009 - 2026)
Newmont (NEM) posted Other Accumulated Expenses of $2.2 billion for Q2 2026, down 8.57% on a QoQ basis from $2.4 billion in Q1 2026, and down 13.21% year-over-year from $2.5 billion in Q2 2025.
Newmont (NEM) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Newmont has reported Other Accumulated Expenses for 18 years, with the latest figure at $2.2 billion in Q2 2026.
- On a quarterly basis, Other Accumulated Expenses fell 13.21% year-over-year to $2.2 billion in Q2 2026; TTM through Jun 2026 was $2.2 billion, a 13.21% decrease from a year earlier, with the FY2025 full-year figure at $2.7 billion, up 8.5% from the prior year.
- Other Accumulated Expenses was $2.2 billion for Q2 2026 at Newmont, down from $2.4 billion in the prior quarter.
- The five-year high for Other Accumulated Expenses was $2.7 billion in Q4 2025, with the low at $1.1 billion in Q2 2022.
- Average Other Accumulated Expenses over 5 years is $1.9 billion, with a median of $2.0 billion recorded in 2024.
- The sharpest annual moves came in 2023 and 2026: Other Accumulated Expenses surged 47.72% in 2023, then slipped 13.21% in 2026.
- Over 5 years, Other Accumulated Expenses stood at $1.6 billion in 2022, then soared by 47.72% to $2.4 billion in 2023, then gained by 5.04% to $2.5 billion in 2024, then advanced by 8.5% to $2.7 billion in 2025, then slipped by 17.98% to $2.2 billion in 2026.
- The last three Other Accumulated Expenses figures came in at $2.2 billion (Q2 2026), $2.4 billion (Q1 2026), and $2.7 billion (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21 Bn |
| Mar 31, 2026 | 2.42 Bn |
| Dec 31, 2025 | 2.69 Bn |
| Sep 30, 2025 | 2.50 Bn |
| Jun 30, 2025 | 2.54 Bn |
| Mar 31, 2025 | 2.36 Bn |
| Dec 31, 2024 | 2.48 Bn |
| Sep 30, 2024 | 2.08 Bn |
| Jun 30, 2024 | 1.82 Bn |
| Mar 31, 2024 | 1.78 Bn |
| Dec 31, 2023 | 2.36 Bn |
| Sep 30, 2023 | 1.58 Bn |
| Jun 30, 2023 | 1.56 Bn |
| Mar 31, 2023 | 1.49 Bn |
| Dec 31, 2022 | 1.60 Bn |
| Sep 30, 2022 | 1.15 Bn |
| Jun 30, 2022 | 1.12 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | 1.05 Bn |
Newmont Other 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=other-accumulated-expenses&ticker=NEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=NEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();