FS Bancorp (FSBW) Provision for Losses (2011 - 2026)
FS Bancorp (FSBW) recorded Provision for Losses of $2.64 million in Q2 2026, up 30.7% from $2.02 million a year earlier and up 4.4% from the prior quarter.
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Analysis
FS Bancorp (FSBW) Provision for Losses (2011 - 2026) Analysis & Trends
On a TTM basis, FS Bancorp's Provision for Losses came in at $11.1 million as of Jun 30, 2026, up 67.0% year-over-year; for FY2025, it came in at $9.55 million, up 73.2% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $5.51 million in FY2024 (+15.4%), $4.77 million in FY2023 (-23.2%), $6.22 million in FY2022 and $500,000 in FY2021 (-96.2%).
- Quarterly Provision for Losses has ranged from -$1 million in Q4 2021 to $3.62 million in Q4 2025 over the past five years.
- On a year-over-year basis, Provision for Losses has increased for nine consecutive quarters, with growth averaging 70.8% over the last eight quarters.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 176.1% in Q3 2024, against a decline of 68.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.53 million (Q1 2026), $3.62 million (Q4 2025) and $2.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | FS Bancorp | 342.75 Mn | 171.34 Mn | - | 3.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.46 Mn |
| Jun 30, 2026 | 2.64 Mn |
| Mar 31, 2026 | 2.53 Mn |
| Dec 31, 2025 | 3.62 Mn |
| Sep 30, 2025 | 2.31 Mn |
| Jun 30, 2025 | 2.02 Mn |
| Mar 31, 2025 | 1.59 Mn |
| Dec 31, 2024 | 1.52 Mn |
| Sep 30, 2024 | 1.51 Mn |
| Jun 30, 2024 | 1.08 Mn |
| Mar 31, 2024 | 1.40 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 548,000.00 |
| Jun 30, 2023 | 716,000.00 |
| Mar 31, 2023 | 2.11 Mn |
| Dec 31, 2022 | 1.59 Mn |
| Sep 30, 2022 | 1.72 Mn |
| Jun 30, 2022 | 1.87 Mn |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | -1.00 Mn |
API Access
FS Bancorp Provision for Losses 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=provision-for-losses&ticker=FSBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();