FS Bancorp (FSBW) Restructuring Costs (2015 - 2026)
FS Bancorp (FSBW) posted Restructuring Costs of $2.46 million for Q3 2026, up 490.6% from the prior quarter.
FS Bancorp (FSBW) Restructuring Costs (2015 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Restructuring Costs at FS Bancorp was $3.18 million; for FY2023, it came in at $1.56 million, up 73.9% from FY2022.
- Annual Restructuring Costs shows a five-year compound annual growth rate of 2.4% (FY2018 to FY2023).
- In prior years, FS Bancorp's Restructuring Costs was $898,000 in FY2022 and $1.76 million in FY2019 (+26.4%).
- The Q3 2026 figure stands as the highest quarterly Restructuring Costs in data going back to Q3 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | FS Bancorp | 342.75 Mn | 171.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.46 Mn |
| Jun 30, 2026 | 417,000.00 |
| Mar 31, 2026 | 295,000.00 |
| Jun 30, 2023 | 61,000.00 |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 898,000.00 |
| Dec 31, 2019 | -99,000.00 |
| Sep 30, 2019 | 257,000.00 |
| Jun 30, 2019 | 1.22 Mn |
| Mar 31, 2019 | 374,000.00 |
| Dec 31, 2018 | 946,000.00 |
| Sep 30, 2018 | 443,000.00 |
| Jun 30, 2016 | 4,000.00 |
| Mar 31, 2016 | 385,000.00 |
| Dec 31, 2015 | 444,000.00 |
| Sep 30, 2015 | 432,000.00 |
FS Bancorp Restructuring Costs 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=restructuring-costs&ticker=FSBW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();