Security Federal (SFDL) Selling, General & Administrative (2009 - 2023)
Security Federal (SFDL) recorded Selling, General & Administrative of $9.03 million in Q1 2023, up 5.1% from $8.59 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Security Federal (SFDL) Selling, General & Administrative (2009 - 2023) Analysis & Trends
On a TTM basis, Security Federal's Selling, General & Administrative came in at $34.66 million as of Mar 31, 2023, up 4.9% year-over-year; for FY2022, it was $34.23 million, up 6.8% from FY2021.
- Annual Selling, General & Administrative has increased for eight straight years, with a five-year compound annual growth rate of 7.1% (FY2017 to FY2022).
- Across earlier years, Selling, General & Administrative came in at $32.05 million in FY2021 (+7.9%), $29.71 million in FY2020 (+6.6%), $27.87 million in FY2019 (+8.9%) and $25.59 million in FY2018 (+5.3%).
- The Q1 2023 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2013.
- On a year-over-year basis, Selling, General & Administrative rose in seven of the last eight quarters, with growth averaging 8.3%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 21.0% in Q4 2021, against a decline of 3.5% in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.92 million (Q4 2022), $8.28 million (Q3 2022) and $8.43 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.82 Bn |
| 10 | Security Federal | 146.35 Mn | -261.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 9.03 Mn |
| Dec 31, 2022 | 8.92 Mn |
| Sep 30, 2022 | 8.28 Mn |
| Jun 30, 2022 | 8.43 Mn |
| Mar 31, 2022 | 8.59 Mn |
| Dec 31, 2021 | 8.94 Mn |
| Sep 30, 2021 | 8.05 Mn |
| Jun 30, 2021 | 7.45 Mn |
| Mar 31, 2021 | 7.61 Mn |
| Dec 31, 2020 | 7.39 Mn |
| Sep 30, 2020 | 7.69 Mn |
| Jun 30, 2020 | 6.99 Mn |
| Mar 31, 2020 | 7.64 Mn |
| Dec 31, 2019 | 6.90 Mn |
| Sep 30, 2019 | 6.99 Mn |
| Jun 30, 2019 | 7.24 Mn |
| Mar 31, 2019 | 6.74 Mn |
| Dec 31, 2018 | 6.41 Mn |
| Sep 30, 2018 | 6.42 Mn |
| Jun 30, 2018 | 6.24 Mn |
API Access
Security Federal Selling, General & Administrative 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=selling-general-and-administrative&ticker=SFDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();