Security Federal (SFDL) Depreciation & Amortization - Total (2010 - 2023)
Security Federal (SFDL) posted Depreciation & Amortization - Total of $620,156 for Q1 2023, down 13.9% from $720,661 a year earlier and down 4.0% from the prior quarter.
Security Federal (SFDL) Depreciation & Amortization - Total (2010 - 2023) Analysis & Trends
For the trailing twelve months through Mar 31, 2023, Depreciation & Amortization - Total at Security Federal was $2.82 million, down 7.5% year-over-year; for FY2022, it came in at $2.93 million, down 6.8% from FY2021.
- Annual Depreciation & Amortization - Total shows a five-year compound annual growth rate of 7.3% (FY2017 to FY2022).
- In prior years, Security Federal's Depreciation & Amortization - Total was $3.14 million in FY2021 (+9.0%), $2.88 million in FY2020 (+10.6%), $2.6 million in FY2019 (+12.7%) and $2.31 million in FY2018 (+12.2%).
- The Q1 2023 figure stands as the lowest quarterly Depreciation & Amortization - Total since Q1 2019.
- On a year-over-year basis, Depreciation & Amortization - Total has declined in each of the last three quarters, with an average decline of 2.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation & Amortization - Total in the past five years was Q4 2018, with growth of 23.0%; the weakest was Q4 2022, with a decline of 17.4%.
- According to Business Quant data, Depreciation & Amortization - Total for the three prior quarters was $646,110 (Q4 2022), $751,739 (Q3 2022) and $806,490 (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Security Federal | 137.01 Mn | -270.40 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 620,156.00 |
| Dec 31, 2022 | 646,110.00 |
| Sep 30, 2022 | 751,739.00 |
| Jun 30, 2022 | 806,490.00 |
| Mar 31, 2022 | 720,661.00 |
| Dec 31, 2021 | 782,042.00 |
| Sep 30, 2021 | 781,217.00 |
| Jun 30, 2021 | 770,894.00 |
| Mar 31, 2021 | 802,847.00 |
| Dec 31, 2020 | 750,149.00 |
| Sep 30, 2020 | 689,118.00 |
| Jun 30, 2020 | 746,635.00 |
| Mar 31, 2020 | 690,930.00 |
| Dec 31, 2019 | 706,107.00 |
| Sep 30, 2019 | 644,800.00 |
| Jun 30, 2019 | 639,840.00 |
| Mar 31, 2019 | 610,357.00 |
| Dec 31, 2018 | 634,085.00 |
| Sep 30, 2018 | 575,750.00 |
| Jun 30, 2018 | 557,423.00 |
Security Federal Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=SFDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();