FS Bancorp (FSBW) Enterprise Value (2012 - 2026)
FS Bancorp (FSBW) posted Enterprise Value of $292.48 million for Q2 2026, up 9.7% from $266.58 million a year earlier and up 16.6% from the prior quarter.
FS Bancorp (FSBW) Enterprise Value (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at FS Bancorp was $164.28 million, up 40.5% year-over-year; for FY2025, it came in at $280.87 million, down 2.6% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- In prior years, FS Bancorp's Enterprise Value was $288.26 million in FY2024 (+45.3%), $198.45 million in FY2023 (-6.6%), $212.55 million in FY2022 (-10.6%) and $237.72 million in FY2021 (+85.2%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value since Q3 2024.
- On a year-over-year basis, Enterprise Value increased in six of the last eight quarters, with growth averaging 24.2%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2023, with growth of 190.9%; the weakest was Q3 2022, with a decline of 81.4%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $250.78 million (Q1 2026), $280.87 million (Q4 2025) and $239.53 million (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 | FS Bancorp | 325.38 Mn | 167.47 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.48 Mn |
| Mar 31, 2026 | 250.78 Mn |
| Dec 31, 2025 | 280.87 Mn |
| Sep 30, 2025 | 239.53 Mn |
| Jun 30, 2025 | 266.58 Mn |
| Mar 31, 2025 | 230.33 Mn |
| Dec 31, 2024 | 288.26 Mn |
| Sep 30, 2024 | 295.44 Mn |
| Jun 30, 2024 | 236.50 Mn |
| Mar 31, 2024 | 202.31 Mn |
| Dec 31, 2023 | 198.45 Mn |
| Sep 30, 2023 | 131.68 Mn |
| Jun 30, 2023 | 86.30 Mn |
| Mar 31, 2023 | 169.48 Mn |
| Dec 31, 2022 | 212.55 Mn |
| Sep 30, 2022 | 45.26 Mn |
| Jun 30, 2022 | 188.20 Mn |
| Mar 31, 2022 | 212.30 Mn |
| Dec 31, 2021 | 237.72 Mn |
| Sep 30, 2021 | 243.97 Mn |
FS Bancorp Enterprise Value 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=enterprise-value&ticker=FSBW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "FSBW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();