New Pacific Metals (NEWP) Other Accumulated Expenses (2021 - 2026)
New Pacific Metals' Other Accumulated Expenses came in at $189,655 for the quarter ended Jun 30, 2026, up 106.9% from $91,687 a year earlier and up 19.7% from the prior quarter.
New Pacific Metals (NEWP) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
Going back to the quarter ended Jun 30, 2020, New Pacific Metals' Other Accumulated Expenses data covers 15 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 24.6% (years ended Jun 2021 to Jun 2026).
- Going back by year, Other Accumulated Expenses was $91,687 in the year ended Jun 30, 2025 (+82.3%), $50,302 in the year ended Jun 30, 2024 and $91,583 in the year ended Dec 31, 2022 (+44.8%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Other Accumulated Expenses since the quarter ended Sep 30, 2023.
- Year-over-year, Other Accumulated Expenses has increased for five consecutive quarters, with growth averaging 95.2% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Mar 31, 2026 (growth of 438.2%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 69.8%).
- Business Quant data shows NEWP's Other Accumulated Expenses at $158,445 (quarter ended Mar 31, 2026), $132,853 (quarter ended Dec 31, 2025) and $95,970 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - |
| 2 | Southern Copper | 153.57 Bn | 132.36 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.92 Bn | 96.42 Bn | - |
| 4 | Newmont | 115.08 Bn | 80.22 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 94.32 Bn | 78.36 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 87.68 Bn | 77.31 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.36 Bn | 40.56 Bn | 2.90 Bn |
| 8 | Nucor | 59.56 Bn | 48.95 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.51 Bn | 24.53 Bn | - |
| 10 | New Pacific Metals | 1.04 Bn | 929.84 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189,655.00 |
| Mar 31, 2026 | 158,445.00 |
| Dec 31, 2025 | 132,853.00 |
| Sep 30, 2025 | 95,970.00 |
| Jun 30, 2025 | 91,687.00 |
| Mar 31, 2025 | 29,442.00 |
| Dec 31, 2024 | 37,825.00 |
| Sep 30, 2024 | 80,273.00 |
| Jun 30, 2024 | 50,302.00 |
| Mar 31, 2024 | 30,752.00 |
| Dec 31, 2023 | 125,234.00 |
| Sep 30, 2023 | 213,712.00 |
| Mar 31, 2023 | 61,710.00 |
| Dec 31, 2022 | 91,583.00 |
| Sep 30, 2022 | 67,292.00 |
| Mar 31, 2022 | 49,383.00 |
| Dec 31, 2021 | 63,256.00 |
| Sep 30, 2021 | 64,094.00 |
| Jun 30, 2021 | 50,378.00 |
New Pacific Metals 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=NEWP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "NEWP", "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=NEWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();