NexMetals Mining (NEXM) Other Accumulated Expenses (2022 - 2026)
NexMetals Mining's Other Accumulated Expenses came in at $17,454 for Q2 2026.
Analysis
NexMetals Mining (NEXM) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, NexMetals Mining's Other Accumulated Expenses was $386,807, down 58.0% from FY2024.
- Other Accumulated Expenses carries a three-year compound annual growth rate of 129.9% (FY2022 to FY2025).
- Going back by year, Other Accumulated Expenses was $920,059 in FY2024, $69,518 in FY2023 (+118.3%) and $31,851 in FY2022.
- The Q2 2026 figure represents the lowest quarterly Other Accumulated Expenses in data going back to Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | NexMetals Mining | 66.31 Mn | 66.31 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17,453.58 |
| Dec 31, 2025 | 387,544.26 |
| Mar 31, 2025 | 32,962.76 |
| Dec 31, 2024 | 901,730.11 |
| Sep 30, 2024 | 18,082.23 |
| Jun 30, 2024 | 124,050.42 |
| Mar 31, 2024 | 119,090.62 |
| Dec 31, 2023 | 68,895.76 |
| Dec 31, 2022 | 31,851.35 |
API Access
NexMetals Mining 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=NEXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=NEXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();