FS Bancorp (FSBW) EBIT (2012 - 2026)
FS Bancorp (FSBW) posted EBIT of $27.07 million for Q2 2026, up 2.7% from $26.35 million a year earlier and up 1.4% from the prior quarter.
FS Bancorp (FSBW) EBIT (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at FS Bancorp was $110.1 million, up 6.9% year-over-year; for FY2025, it came in at $107.96 million, up 4.5% from FY2024.
- Annual EBIT has increased for three consecutive years, with a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In prior years, FS Bancorp's EBIT was $103.31 million in FY2024 (+15.9%), $89.16 million in FY2023 (+73.5%), $51.4 million in FY2022 (-10.0%) and $57.15 million in FY2021 (-11.5%).
- Quarterly EBIT has run from a low of $10.39 million in Q1 2022 to a high of $28.87 million in Q3 2025 over five years.
- On a year-over-year basis, EBIT has increased in each of the last four quarters, with growth averaging 4.0% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2023, with growth of 97.9%; the weakest was Q1 2022, with a decline of 42.2%.
- According to Business Quant data, EBIT for the three prior quarters was $26.69 million (Q1 2026), $27.47 million (Q4 2025) and $28.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 19.01 Bn |
| 10 | FS Bancorp | 325.38 Mn | 167.47 Mn | - | 27.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.07 Mn |
| Mar 31, 2026 | 26.69 Mn |
| Dec 31, 2025 | 27.47 Mn |
| Sep 30, 2025 | 28.87 Mn |
| Jun 30, 2025 | 26.35 Mn |
| Mar 31, 2025 | 25.27 Mn |
| Dec 31, 2024 | 25.71 Mn |
| Sep 30, 2024 | 25.67 Mn |
| Jun 30, 2024 | 26.87 Mn |
| Mar 31, 2024 | 25.06 Mn |
| Dec 31, 2023 | 26.06 Mn |
| Sep 30, 2023 | 24.12 Mn |
| Jun 30, 2023 | 20.78 Mn |
| Mar 31, 2023 | 18.20 Mn |
| Dec 31, 2022 | 16.08 Mn |
| Sep 30, 2022 | 14.43 Mn |
| Jun 30, 2022 | 10.50 Mn |
| Mar 31, 2022 | 10.39 Mn |
| Dec 31, 2021 | 12.72 Mn |
| Sep 30, 2021 | 13.39 Mn |
FS Bancorp EBIT 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=ebit&ticker=FSBW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();