Sound Financial Bancorp (SFBC) EV to EBITDA (2012 - 2026)
Sound Financial Bancorp's (SFBC) EV to EBITDA came in at -0.29 for Q2 2026, compared with 0.47 a year earlier.
Sound Financial Bancorp (SFBC) EV to EBITDA (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Sound Financial Bancorp was -12.02; for FY2025, it came in at -0.83.
- In prior years, Sound Financial Bancorp's EV to EBITDA was 2.80 in FY2024 (+49.1%), 1.88 in FY2023 (-30.8%), 2.71 in FY2022 and -4.27 in FY2021.
- Quarterly EV to EBITDA has run from a low of -6.80 in Q1 2022 to a high of 2.80 in Q4 2024 over five years.
- According to Business Quant data, EV to EBITDA for the three prior quarters was -0.80 (Q1 2026), -0.83 (Q4 2025) and 0.53 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Sound Financial Bancorp | 119.18 Mn | -378.48 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.29 |
| Mar 31, 2026 | -0.80 |
| Dec 31, 2025 | -0.83 |
| Sep 30, 2025 | 0.53 |
| Jun 30, 2025 | 0.47 |
| Mar 31, 2025 | -0.09 |
| Dec 31, 2024 | 2.80 |
| Sep 30, 2024 | -0.38 |
| Jun 30, 2024 | -0.88 |
| Mar 31, 2024 | -1.20 |
| Dec 31, 2023 | 1.88 |
| Sep 30, 2023 | -0.28 |
| Jun 30, 2023 | -0.38 |
| Mar 31, 2023 | 0.78 |
| Dec 31, 2022 | 2.71 |
| Sep 30, 2022 | 2.13 |
| Jun 30, 2022 | 1.37 |
| Mar 31, 2022 | -6.80 |
| Dec 31, 2021 | -4.27 |
| Sep 30, 2021 | -4.56 |
Sound Financial Bancorp EV to EBITDA 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=ev-to-ebitda&ticker=SFBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SFBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();