Security Federal (SFDL) Provision for Credit Losses (2009 - 2025)
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Analysis
Security Federal (SFDL) Provision for Credit Losses (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Security Federal | 146.35 Mn | -261.06 Mn | - | 123,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 123,000.00 |
| Sep 30, 2025 | -317,000.00 |
| Dec 31, 2024 | 280,000.00 |
| Sep 30, 2024 | 725,000.00 |
| Jun 30, 2024 | 175,000.00 |
| Mar 31, 2024 | 335,000.00 |
| Dec 31, 2023 | 25,000.00 |
| Sep 30, 2023 | 50,000.00 |
| Jun 30, 2023 | 221,000.00 |
| Mar 31, 2023 | 165,000.00 |
| Dec 31, 2021 | -134,000.00 |
| Sep 30, 2021 | -665,000.00 |
| Jun 30, 2021 | -735,000.00 |
| Mar 31, 2021 | -870,000.00 |
| Sep 30, 2020 | 2.20 Mn |
| Jun 30, 2020 | 700,000.00 |
| Mar 31, 2020 | 700,000.00 |
| Dec 31, 2019 | 200,000.00 |
| Sep 30, 2019 | 75,000.00 |
| Mar 31, 2019 | 100,000.00 |
API Access
Security Federal Provision for Credit Losses 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=provision-for-credit-losses&ticker=SFDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();