Security Federal (SFDL) Retained Earnings (2011 - 2025)
Security Federal's Retained Earnings came in at $127.94 million for Q4 2025, up 8.3% from $118.14 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Security Federal (SFDL) Retained Earnings (2011 - 2025) Analysis & Trends
Going back to Q4 2012, Security Federal's Retained Earnings data covers 52 quarters.
- Retained Earnings has increased in each of the last 13 years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $118.14 million in FY2024 (+6.4%), $111.05 million in FY2023 (+6.7%), $104.13 million in FY2022 (+8.0%) and $96.37 million in FY2021 (+13.3%).
- The Q4 2025 figure represents the highest quarterly Retained Earnings in data going back to Q4 2012.
- Year-over-year, Retained Earnings has increased for 47 consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 6.4% in Q4 2024 to 15.1% in Q3 2021.
- Business Quant data shows SFDL's Retained Earnings at $124.53 million (Q3 2025), $121.83 million (Q2 2025) and $120.25 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | Security Federal | 137.01 Mn | -270.40 Mn | - | 127.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 127.94 Mn |
| Sep 30, 2025 | 124.53 Mn |
| Jun 30, 2025 | 121.83 Mn |
| Mar 31, 2025 | 120.25 Mn |
| Dec 31, 2024 | 118.14 Mn |
| Sep 30, 2024 | 115.58 Mn |
| Jun 30, 2024 | 114.03 Mn |
| Mar 31, 2024 | 112.36 Mn |
| Dec 31, 2023 | 111.05 Mn |
| Sep 30, 2023 | 107.86 Mn |
| Jun 30, 2023 | 106.16 Mn |
| Mar 31, 2023 | 104.80 Mn |
| Dec 31, 2022 | 104.13 Mn |
| Sep 30, 2022 | 101.23 Mn |
| Jun 30, 2022 | 98.39 Mn |
| Mar 31, 2022 | 97.53 Mn |
| Dec 31, 2021 | 96.37 Mn |
| Sep 30, 2021 | 94.70 Mn |
| Jun 30, 2021 | 90.42 Mn |
| Mar 31, 2021 | 87.85 Mn |
API Access
Security Federal Retained Earnings 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=retained-earnings&ticker=SFDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();