Security Federal (SFDL) Cash & Equivalents (2011 - 2025)
Security Federal (SFDL) recorded Cash & Equivalents of $75.34 million in Q4 2025, down 57.7% from $178.28 million a year earlier but up 45.4% from the prior quarter.
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Analysis
Security Federal (SFDL) Cash & Equivalents (2011 - 2025) Analysis & Trends
Starting with Q4 2012, Security Federal's Cash & Equivalents history includes 52 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $178.28 million in FY2024 (+39.0%), $128.28 million in FY2023 (+350.1%), $28.5 million in FY2022 (+3.2%) and $27.62 million in FY2021 (+53.2%).
- Quarterly Cash & Equivalents has ranged from $13.15 million in Q2 2021 to $178.28 million in Q4 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in six of the last eight quarters, with growth averaging 47.3%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 499.9% in Q2 2022, against a decline of 60.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.81 million (Q3 2025), $142.19 million (Q2 2025) and $133.08 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Security Federal | 140.12 Mn | -267.29 Mn | - | 75.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 75.34 Mn |
| Sep 30, 2025 | 51.81 Mn |
| Jun 30, 2025 | 142.19 Mn |
| Mar 31, 2025 | 133.08 Mn |
| Dec 31, 2024 | 178.28 Mn |
| Sep 30, 2024 | 132.38 Mn |
| Jun 30, 2024 | 138.35 Mn |
| Mar 31, 2024 | 92.78 Mn |
| Dec 31, 2023 | 128.28 Mn |
| Sep 30, 2023 | 84.22 Mn |
| Jun 30, 2023 | 77.18 Mn |
| Mar 31, 2023 | 24.72 Mn |
| Dec 31, 2022 | 28.50 Mn |
| Sep 30, 2022 | 20.07 Mn |
| Jun 30, 2022 | 78.87 Mn |
| Mar 31, 2022 | 31.11 Mn |
| Dec 31, 2021 | 27.62 Mn |
| Sep 30, 2021 | 13.56 Mn |
| Jun 30, 2021 | 13.15 Mn |
| Mar 31, 2021 | 19.10 Mn |
API Access
Security Federal Cash & Equivalents 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=cash-and-equivalents&ticker=SFDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();