Southern First Bancshares (SFST) Operating Expenses (2009 - 2026)
Southern First Bancshares' Operating Expenses was $20.3 million in Q3 2026, up 7.2% from $18.95 million a year earlier but down 0.4% from the prior quarter.
Southern First Bancshares (SFST) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Southern First Bancshares' Operating Expenses was $79.13 million through Sep 30, 2026, up 4.6% year-over-year; for FY2025, it came in at $75.53 million, up 3.0% from FY2024.
- Operating Expenses has now increased for 16 consecutive years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $73.33 million in FY2024 (+6.5%), $68.83 million in FY2023 (+9.4%), $62.93 million in FY2022 (+11.5%) and $56.43 million in FY2021 (+5.0%).
- Quarterly Operating Expenses has moved between $14.69 million (Q1 2022) and $20.39 million (Q2 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 5.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 17.0%); the worst was Q4 2025 (a decline of 0.7%).
- Per Business Quant data, SFST's Operating Expenses in the three quarters before Q3 2026 was $20.39 million (Q2 2026), $20.02 million (Q1 2026) and $18.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Southern First Bancshares | 573.54 Mn | -556.77 Mn | - | 20.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.30 Mn |
| Jun 30, 2026 | 20.39 Mn |
| Mar 31, 2026 | 20.02 Mn |
| Dec 31, 2025 | 18.42 Mn |
| Sep 30, 2025 | 18.95 Mn |
| Jun 30, 2025 | 19.34 Mn |
| Mar 31, 2025 | 18.84 Mn |
| Dec 31, 2024 | 18.54 Mn |
| Sep 30, 2024 | 18.04 Mn |
| Jun 30, 2024 | 18.64 Mn |
| Mar 31, 2024 | 18.10 Mn |
| Dec 31, 2023 | 17.03 Mn |
| Sep 30, 2023 | 17.30 Mn |
| Jun 30, 2023 | 17.39 Mn |
| Mar 31, 2023 | 17.10 Mn |
| Dec 31, 2022 | 16.41 Mn |
| Sep 30, 2022 | 16.05 Mn |
| Jun 30, 2022 | 15.79 Mn |
| Mar 31, 2022 | 14.69 Mn |
| Dec 31, 2021 | 14.74 Mn |
Southern First Bancshares Operating Expenses 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=operating-expenses&ticker=SFST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SFST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SFST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();