Security Federal (SFDL) Shares Outstanding (2010 - 2025)
Security Federal (SFDL) recorded Shares Outstanding of 3.16 million in Q4 2025, down 1.5% from 3.21 million a year earlier but up 0.4% from the prior quarter.
Security Federal (SFDL) Shares Outstanding (2010 - 2025) Analysis & Trends
Starting with Q4 2012, Security Federal's Shares Outstanding history includes 52 quarters.
- Annual Shares Outstanding has declined for three straight years, with a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 3.21 million in FY2024 (-1.2%), 3.25 million in FY2023 (-0.1%), 3.25 million in FY2022 (unchanged) and 3.25 million in FY2021 (+1.2%).
- Quarterly Shares Outstanding has ranged from 3.15 million in Q3 2025 to 3.25 million in Q2 2023 over the past five years.
- On a year-over-year basis, Shares Outstanding has declined for ten consecutive quarters, with an average decline of 1.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 5.2% in Q1 2021, against a decline of 1.6% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 3.15 million (Q3 2025), 3.19 million (Q2 2025) and 3.19 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 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 | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Security Federal | 137.01 Mn | -270.40 Mn | - | 3.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.16 Mn |
| Sep 30, 2025 | 3.15 Mn |
| Jun 30, 2025 | 3.19 Mn |
| Mar 31, 2025 | 3.19 Mn |
| Dec 31, 2024 | 3.21 Mn |
| Sep 30, 2024 | 3.20 Mn |
| Jun 30, 2024 | 3.22 Mn |
| Mar 31, 2024 | 3.23 Mn |
| Dec 31, 2023 | 3.25 Mn |
| Sep 30, 2023 | 3.25 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 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=SFDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();