New Pacific Metals (NEWP) Shares Outstanding (2020 - 2026)
New Pacific Metals (NEWP) recorded Weighted Average Shares Outstanding of 180.6 million in 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 (2020 - 2026) Analysis & Trends
Starting with fiscal Q4 2020, New Pacific Metals' Weighted Average Shares Outstanding history includes 26 quarters.
- Annual Weighted Average Shares Outstanding has increased for six straight fiscal years, with a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- Across earlier fiscal years, Weighted Average Shares Outstanding came in at 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%).
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 22 consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 0.9% (fiscal Q4 2023) to 6.9% (fiscal Q3 2025).
- Per Business Quant, the preceding three fiscal quarters came in at 180.6 million (Q4 2026), 171.64 million (Q3 2026) and 171.64 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 546.72 Mn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 1.62 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 | - | 1.62 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 | 1.96 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 501.99 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 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&ticker=NEWP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=NEWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();