Security Federal (SFDL) Shares Outstanding (Entity) (2010 - 2025)
Security Federal (SFDL) posted Shares Outstanding (Entity) of 3.11 million for Q4 2025, down 2.3% from 3.19 million a year earlier and down 0.3% from the prior quarter.
Security Federal (SFDL) Shares Outstanding (Entity) (2010 - 2025) Analysis & Trends
Since Q4 2012, Security Federal has reported Shares Outstanding (Entity) for 52 quarters.
- Annual Shares Outstanding (Entity) has declined for three consecutive years, with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In prior years, Security Federal's Shares Outstanding (Entity) was 3.19 million in FY2024 (-1.3%), 3.23 million in FY2023 (-0.7%), 3.25 million in FY2022 (unchanged) and 3.25 million in FY2021 (unchanged).
- The Q4 2025 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q4 2019.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last ten quarters, with an average decline of 1.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Entity) ranged from 0.0% (Q2 2023) to 2.3% (Q4 2025).
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 3.12 million (Q3 2025), 3.18 million (Q2 2025) and 3.19 million (Q1 2025).
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 | Security Federal | 137.01 Mn | -270.40 Mn | - | 3.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.11 Mn |
| Sep 30, 2025 | 3.12 Mn |
| Jun 30, 2025 | 3.18 Mn |
| Mar 31, 2025 | 3.19 Mn |
| Dec 31, 2024 | 3.19 Mn |
| Sep 30, 2024 | 3.19 Mn |
| Jun 30, 2024 | 3.20 Mn |
| Mar 31, 2024 | 3.23 Mn |
| Dec 31, 2023 | 3.23 Mn |
| Sep 30, 2023 | 3.24 Mn |
| Jun 30, 2023 | 3.25 Mn |
| Mar 31, 2023 | 3.25 Mn |
| Dec 31, 2022 | 3.25 Mn |
| Sep 30, 2022 | 3.25 Mn |
| Jun 30, 2022 | 3.25 Mn |
| Mar 31, 2022 | 3.25 Mn |
| Dec 31, 2021 | 3.25 Mn |
| Sep 30, 2021 | 3.25 Mn |
| Jun 30, 2021 | 3.25 Mn |
| Mar 31, 2021 | 3.25 Mn |
Security Federal 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=SFDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "SFDL", "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=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();