First National (FXNC) Shares Outstanding (Diluted) (2014 - 2026)
First National (FXNC) reported Shares Outstanding (Diluted) of 9.07 million for Q2 2026, up 0.7% from 9 million a year earlier and up 0.2% from the prior quarter.
First National (FXNC) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, First National posted Shares Outstanding (Diluted) of 9.02 million, up 29.3% from FY2024.
- Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 6.97 million in FY2024 (+11.0%), 6.28 million in FY2023 (+0.3%), 6.26 million in FY2022 (+12.6%) and 5.56 million in FY2021 (+13.9%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2014.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last nine quarters, with growth averaging 21.5% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.0% (Q1 2024) and 43.3% (Q1 2025) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 9.05 million (Q1 2026), 9.02 million (Q4 2025) and 9.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | First National | 265.67 Mn | -438.51 Mn | - | 9.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.07 Mn |
| Mar 31, 2026 | 9.05 Mn |
| Dec 31, 2025 | 9.02 Mn |
| Sep 30, 2025 | 9.02 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | 9.01 Mn |
| Dec 31, 2024 | 6.97 Mn |
| Sep 30, 2024 | 6.30 Mn |
| Jun 30, 2024 | 6.29 Mn |
| Mar 31, 2024 | 6.28 Mn |
| Dec 31, 2023 | 6.28 Mn |
| Sep 30, 2023 | 6.27 Mn |
| Jun 30, 2023 | 6.28 Mn |
| Mar 31, 2023 | 6.28 Mn |
| Dec 31, 2022 | 6.26 Mn |
| Sep 30, 2022 | 6.26 Mn |
| Jun 30, 2022 | 6.26 Mn |
| Mar 31, 2022 | 6.25 Mn |
| Dec 31, 2021 | 5.56 Mn |
| Sep 30, 2021 | 6.23 Mn |
First National 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=FXNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "FXNC", "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=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();