New Pacific Metals (NEWP) Shares Outstanding (Diluted) (2020 - 2026)
New Pacific Metals' Weighted Average Shares Outstanding (Diluted) came in at 180.6 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 5.2% from 171.64 million a year earlier and unchanged from the prior quarter.
New Pacific Metals (NEWP) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Going back to fiscal Q4 2020, New Pacific Metals' Weighted Average Shares Outstanding (Diluted) data covers 26 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- Going back by fiscal year, Weighted Average Shares Outstanding (Diluted) was 171.64 million in FY2025 (+2.3%), 167.77 million in FY2024 (+6.9%), 156.99 million in FY2023 (+0.9%) and 155.63 million in FY2022 (+1.5%).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 22 consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.9% (fiscal Q4 2023) and 6.9% (fiscal Q3 2025) over the last five years.
- Business Quant data shows NEWP's Weighted Average Shares Outstanding (Diluted) at 180.6 million (Q4 2026), 171.64 million (Q3 2026) and 171.64 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 547.68 Mn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 1.64 Bn |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | 838.10 Mn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | 1.64 Bn |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 1.05 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | - |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 503.43 Mn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 1.44 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | 1.71 Bn |
| 10 | New Pacific Metals | 1.03 Bn | 874.70 Mn | - | 180.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 180.60 Mn |
| Jun 30, 2026 | 180.60 Mn |
| Mar 31, 2026 | 171.64 Mn |
| Dec 31, 2025 | 171.64 Mn |
| Sep 30, 2025 | 171.64 Mn |
| Jun 30, 2025 | 171.64 Mn |
| Mar 31, 2025 | 167.77 Mn |
| Dec 31, 2024 | 167.77 Mn |
| Sep 30, 2024 | 167.77 Mn |
| Jun 30, 2024 | 167.77 Mn |
| Mar 31, 2024 | 156.99 Mn |
| Dec 31, 2023 | 156.99 Mn |
| Sep 30, 2023 | 156.99 Mn |
| Jun 30, 2023 | 156.99 Mn |
| Mar 31, 2023 | 155.63 Mn |
| Dec 31, 2022 | 155.63 Mn |
| Sep 30, 2022 | 155.63 Mn |
| Jun 30, 2022 | 155.63 Mn |
| Mar 31, 2022 | 153.29 Mn |
| Dec 31, 2021 | 153.29 Mn |
New Pacific Metals Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NEWP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NEWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();