Sound Financial Bancorp (SFBC) Operating Expenses (2011 - 2026)
Sound Financial Bancorp's Operating Expenses was $8.13 million in Q2 2026, up 6.0% from $7.67 million a year earlier and up 3.2% from the prior quarter.
Sound Financial Bancorp (SFBC) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sound Financial Bancorp's Operating Expenses was $30.52 million through Jun 30, 2026, up 0.7% year-over-year; for FY2025, it was $30.09 million, down 0.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $30.13 million in FY2024 (unchanged), $30.13 million in FY2023 (+8.2%), $27.85 million in FY2022 (+9.6%) and $25.4 million in FY2021 (+12.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q3 2011.
- Compared with a year earlier, Operating Expenses was higher in two of the last eight quarters, with growth averaging 0.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 19.5%); the worst was Q4 2024 (a decline of 3.4%).
- Per Business Quant data, SFBC's Operating Expenses in the three quarters before Q2 2026 was $7.87 million (Q1 2026), $6.84 million (Q4 2025) and $7.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Sound Financial Bancorp | 119.18 Mn | -378.48 Mn | - | 8.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.13 Mn |
| Mar 31, 2026 | 7.87 Mn |
| Dec 31, 2025 | 6.84 Mn |
| Sep 30, 2025 | 7.68 Mn |
| Jun 30, 2025 | 7.67 Mn |
| Mar 31, 2025 | 7.91 Mn |
| Dec 31, 2024 | 7.06 Mn |
| Sep 30, 2024 | 7.68 Mn |
| Jun 30, 2024 | 7.74 Mn |
| Mar 31, 2024 | 7.66 Mn |
| Dec 31, 2023 | 7.31 Mn |
| Sep 30, 2023 | 7.71 Mn |
| Jun 30, 2023 | 7.50 Mn |
| Mar 31, 2023 | 7.62 Mn |
| Dec 31, 2022 | 7.17 Mn |
| Sep 30, 2022 | 7.07 Mn |
| Jun 30, 2022 | 6.79 Mn |
| Mar 31, 2022 | 6.82 Mn |
| Dec 31, 2021 | 6.93 Mn |
| Sep 30, 2021 | 6.32 Mn |
Sound Financial Bancorp 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=SFBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SFBC", "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=SFBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();