Security Federal (SFDL) Return on Sales [ROS] (2009 - 2025)
Security Federal (SFDL) reported Return on Sales [ROS] of 1139.68% for Q4 2025, down 51.27 percentage points from 1190.94% a year earlier but up 6.43 percentage points from the prior quarter.
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Analysis
Security Federal (SFDL) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
For FY2025, Security Federal posted Return on Sales [ROS] of 1081.18%, down 7.49 percentage points from FY2024.
- Return on Sales [ROS] has a three-year change of +619.00 percentage points (FY2022 to FY2025).
- By year, Return on Sales [ROS] came in at 1088.67% in FY2024 (+187.14 pp), 901.53% in FY2023 (+439.35 pp) and 462.18% in FY2022.
- Five-year quarterly Return on Sales [ROS] spans a low of 368.51% in Q2 2022 and a high of 1190.94% in Q4 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of +90.05 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 476.49 percentage points); the low point was Q4 2025 (a drop of 51.27 percentage points).
- Per Business Quant data, the three quarters before Q4 2025 came in at 1133.24% (Q3 2025), 1042.19% (Q2 2025) and 1013.36% (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Security Federal | 146.35 Mn | -261.06 Mn | - | 77.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 77.03% |
| Sep 30, 2025 | 85.73% |
| Jun 30, 2025 | 84.01% |
| Mar 31, 2025 | 86.57% |
| Dec 31, 2024 | 94.18% |
| Sep 30, 2024 | 94.08% |
| Jun 30, 2024 | 90.47% |
| Mar 31, 2024 | 89.98% |
| Dec 31, 2023 | 91.47% |
| Sep 30, 2023 | 86.67% |
| Jun 30, 2023 | 76.25% |
| Mar 31, 2023 | 59.37% |
| Dec 31, 2022 | 48.96% |
| Sep 30, 2022 | 42.40% |
| Jun 30, 2022 | 32.17% |
| Mar 31, 2022 | 25.77% |
| Dec 31, 2021 | 30.55% |
| Sep 30, 2021 | 51.03% |
| Jun 30, 2021 | 45.02% |
| Mar 31, 2021 | 47.54% |
API Access
Security Federal Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SFDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();