New Pacific Metals (NEWP) Enterprise Value (2019 - 2026)
New Pacific Metals (NEWP) posted Enterprise Value of $705.97 million for the quarter ended Jun 30, 2026, up 206.5% from $230.35 million a year earlier but down 0.8% from the prior quarter.
New Pacific Metals (NEWP) Enterprise Value (2019 - 2026) Analysis & Trends
Since the quarter ended Jun 30, 2019, New Pacific Metals has reported Enterprise Value for 18 quarters.
- Annual Enterprise Value shows a five-year compound annual growth rate of -23.3% (years ended Jun 2021 to Jun 2026).
- In prior years, New Pacific Metals' Enterprise Value was $230.35 million in the year ended Jun 30, 2025 (-10.3%), $256.79 million in the year ended Jun 30, 2024 (-25.2%), $343.33 million in the year ended Jun 30, 2023 and $322.85 million in the year ended Dec 31, 2022 (-87.8%).
- Quarterly Enterprise Value has run from a low of $173.07 million in the quarter ended Mar 31, 2025 to a high of $711.68 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last four quarters, with growth averaging 91.4% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was the quarter ended Mar 31, 2026, with growth of 311.2%; the weakest was the quarter ended Dec 31, 2024, with a decline of 25.5%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $711.68 million (quarter ended Mar 31, 2026), $561.84 million (quarter ended Dec 31, 2025) and $465.86 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | New Pacific Metals | 1.18 Bn | 1.06 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 705.97 Mn |
| Mar 31, 2026 | 711.68 Mn |
| Dec 31, 2025 | 561.84 Mn |
| Sep 30, 2025 | 465.86 Mn |
| Jun 30, 2025 | 213.51 Mn |
| Mar 31, 2025 | 173.07 Mn |
| Dec 31, 2024 | 201.89 Mn |
| Sep 30, 2024 | 255.08 Mn |
| Jun 30, 2024 | 234.84 Mn |
| Mar 31, 2024 | 210.88 Mn |
| Dec 31, 2023 | 300.66 Mn |
| Sep 30, 2023 | 278.42 Mn |
| Jun 30, 2023 | 337.03 Mn |
| Mar 31, 2023 | 421.04 Mn |
| Dec 31, 2022 | 352.17 Mn |
| Sep 30, 2022 | 331.77 Mn |
| Jun 30, 2022 | 420.21 Mn |
| Mar 31, 2022 | 455.14 Mn |
| Dec 31, 2021 | 2.65 Bn |
| Sep 30, 2021 | -5.68 Bn |
New Pacific Metals Enterprise Value 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=enterprise-value&ticker=NEWP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=NEWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();