FS Bancorp (FSBW) Cash & Equivalents (2013 - 2026)
FS Bancorp (FSBW) reported Cash & Equivalents of $29.71 million for Q2 2026, down 10.5% from $33.2 million a year earlier and down 23.2% from the prior quarter.
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Analysis
FS Bancorp (FSBW) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, FS Bancorp posted Cash & Equivalents of $28.22 million, down 10.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -21.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $31.64 million in FY2024 (-51.8%), $65.69 million in FY2023 (+58.5%), $41.44 million in FY2022 (+56.4%) and $26.49 million in FY2021 (-71.1%).
- Five-year quarterly Cash & Equivalents spans a low of $26.49 million in Q4 2021 and a high of $159.8 million in Q3 2022.
- Year over year, Cash & Equivalents has now declined in each of the last three quarters, with an average decline of 8.9% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2022 (growth of 464.0%); the low point was Q2 2024 (a decline of 75.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $38.7 million (Q1 2026), $28.22 million (Q4 2025) and $61.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | FS Bancorp | 329.10 Mn | 171.18 Mn | - | 29.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.71 Mn |
| Mar 31, 2026 | 38.70 Mn |
| Dec 31, 2025 | 28.22 Mn |
| Sep 30, 2025 | 61.28 Mn |
| Jun 30, 2025 | 33.20 Mn |
| Mar 31, 2025 | 62.74 Mn |
| Dec 31, 2024 | 31.64 Mn |
| Sep 30, 2024 | 40.34 Mn |
| Jun 30, 2024 | 33.01 Mn |
| Mar 31, 2024 | 45.41 Mn |
| Dec 31, 2023 | 65.69 Mn |
| Sep 30, 2023 | 80.67 Mn |
| Jun 30, 2023 | 132.10 Mn |
| Mar 31, 2023 | 58.18 Mn |
| Dec 31, 2022 | 41.44 Mn |
| Sep 30, 2022 | 159.80 Mn |
| Jun 30, 2022 | 28.66 Mn |
| Mar 31, 2022 | 29.61 Mn |
| Dec 31, 2021 | 26.49 Mn |
| Sep 30, 2021 | 28.33 Mn |
API Access
FS Bancorp Cash & Equivalents 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=cash-and-equivalents&ticker=FSBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();