Security Federal (SFDL) Return on Sales [ROS] (2022 - 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] (2022 - 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 | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Security Federal | 138.57 Mn | -268.84 Mn | - | 1,139.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,139.68% |
| Sep 30, 2025 | 1,133.24% |
| Jun 30, 2025 | 1,042.19% |
| Mar 31, 2025 | 1,013.36% |
| Dec 31, 2024 | 1,190.94% |
| Sep 30, 2024 | 1,143.94% |
| Jun 30, 2024 | 1,052.58% |
| Mar 31, 2024 | 970.20% |
| Dec 31, 2023 | 1,139.43% |
| Sep 30, 2023 | 954.12% |
| Jun 30, 2023 | 825.31% |
| Mar 31, 2023 | 689.18% |
| Dec 31, 2022 | 662.95% |
| Sep 30, 2022 | 541.48% |
| Jun 30, 2022 | 368.51% |
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();