Security Federal (SFDL) Wages, Salaries and Other (2010 - 2025)
Security Federal (SFDL) recorded Wages, Salaries and Other of $6.33 million in Q4 2025, up 17.8% from $5.37 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Security Federal (SFDL) Wages, Salaries and Other (2010 - 2025) Analysis & Trends
For FY2025, Security Federal reported Wages, Salaries and Other of $23.99 million, up 10.1% from FY2024.
- Annual Wages, Salaries and Other has increased for 13 straight years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Across earlier years, Wages, Salaries and Other came in at $21.8 million in FY2024 (+7.3%), $20.31 million in FY2023 (+1.3%), $20.05 million in FY2022 (+4.6%) and $19.16 million in FY2021 (+6.5%).
- The Q4 2025 figure is the highest quarterly Wages, Salaries and Other in data going back to Q2 2013.
- On a year-over-year basis, Wages, Salaries and Other has increased for nine consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Peak year-over-year performance for Wages, Salaries and Other in the last five years was growth of 17.8% in Q4 2025, against a decline of 1.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.01 million (Q3 2025), $5.86 million (Q2 2025) and $5.8 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | Security Federal | 138.57 Mn | -268.84 Mn | - | 6.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.33 Mn |
| Sep 30, 2025 | 6.01 Mn |
| Jun 30, 2025 | 5.86 Mn |
| Mar 31, 2025 | 5.80 Mn |
| Dec 31, 2024 | 5.37 Mn |
| Sep 30, 2024 | 5.36 Mn |
| Jun 30, 2024 | 5.52 Mn |
| Mar 31, 2024 | 5.54 Mn |
| Dec 31, 2023 | 5.09 Mn |
| Sep 30, 2023 | 4.96 Mn |
| Jun 30, 2023 | 5.02 Mn |
| Mar 31, 2023 | 5.24 Mn |
| Dec 31, 2022 | 5.07 Mn |
| Sep 30, 2022 | 5.02 Mn |
| Jun 30, 2022 | 4.90 Mn |
| Mar 31, 2022 | 5.06 Mn |
| Dec 31, 2021 | 5.01 Mn |
| Sep 30, 2021 | 4.76 Mn |
| Jun 30, 2021 | 4.52 Mn |
| Mar 31, 2021 | 4.87 Mn |
API Access
Security Federal Wages, Salaries and Other 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=wages-salaries-and-other&ticker=SFDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();