National Bankshares (NKSH) Shares Outstanding (Entity) (2010 - 2026)
National Bankshares' Shares Outstanding (Entity) came in at 6.37 million for Q2 2026, up 0.1% from 6.37 million a year earlier and unchanged from the prior quarter.
National Bankshares (NKSH) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
Going back to Q2 2010, National Bankshares' Shares Outstanding (Entity) data covers 65 quarters.
- Shares Outstanding (Entity) has increased in each of the last three years, though with a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 6.36 million in FY2024 (+8.0%), 5.89 million in FY2023 (+0.1%), 5.89 million in FY2022 (-2.9%) and 6.06 million in FY2021 (-5.7%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Entity) since Q4 2020.
- Year-over-year, Shares Outstanding (Entity) has increased for 11 consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q2 2024 (growth of 8.0%), and the weakest in Q4 2021 (a decline of 5.7%).
- Business Quant data shows NKSH's Shares Outstanding (Entity) at 6.37 million (Q1 2026), 6.37 million (Q4 2025) and 6.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 12.56 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.02 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 291.44 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.03 Bn |
| 10 | National Bankshares | 266.99 Mn | 48.72 Mn | - | 6.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.37 Mn |
| Mar 31, 2026 | 6.37 Mn |
| Dec 31, 2025 | 6.37 Mn |
| Sep 30, 2025 | 6.37 Mn |
| Jun 30, 2025 | 6.37 Mn |
| Mar 31, 2025 | 6.36 Mn |
| Dec 31, 2024 | 6.36 Mn |
| Sep 30, 2024 | 6.36 Mn |
| Jun 30, 2024 | 6.36 Mn |
| Mar 31, 2024 | 5.89 Mn |
| Dec 31, 2023 | 5.89 Mn |
| Sep 30, 2023 | 5.89 Mn |
| Jun 30, 2023 | 5.89 Mn |
| Mar 31, 2023 | 5.89 Mn |
| Dec 31, 2022 | 5.89 Mn |
| Sep 30, 2022 | 5.96 Mn |
| Jun 30, 2022 | 5.98 Mn |
| Mar 31, 2022 | 6.02 Mn |
| Dec 31, 2021 | 6.06 Mn |
| Sep 30, 2021 | 6.17 Mn |
National Bankshares Shares Outstanding (Entity) 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-entity&ticker=NKSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "NKSH", "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-entity&ticker=NKSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();