Five Star Bancorp (FSBC) Provision for Credit Losses (2020 - 2026)
Five Star Bancorp (FSBC) posted Provision for Credit Losses of $2.5 million for Q3 2026, unchanged from $2.5 million a year earlier and up 11.1% from the prior quarter.
Five Star Bancorp (FSBC) Provision for Credit Losses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Provision for Credit Losses at Five Star Bancorp was $10.23 million, up 21.0% year-over-year; for FY2025, it came in at $9.75 million, up 30.9% from FY2024.
- Annual Provision for Credit Losses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior years, Five Star Bancorp's Provision for Credit Losses was $7.45 million in FY2024 (+86.3%), $4 million in FY2023 (-40.3%), $6.7 million in FY2022 (+294.1%) and $1.7 million in FY2021 (-81.1%).
- Quarterly Provision for Credit Losses has run from a low of $800,000 in Q4 2023 to a high of $2.95 million in Q3 2024 over five years.
- On a year-over-year basis, Provision for Credit Losses increased in five of the last eight quarters, with growth averaging 38.4%.
- The strongest year-over-year quarter for Provision for Credit Losses in the past five years was Q1 2022, with growth of 375.0%; the weakest was Q3 2023, with a decline of 53.3%.
- According to Business Quant data, Provision for Credit Losses for the three prior quarters was $2.25 million (Q2 2026), $2.68 million (Q1 2026) and $2.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 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 | Five Star Bancorp | 1.08 Bn | -1.43 Bn | - | 2.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.70 Mn |
| Jun 30, 2026 | 2.25 Mn |
| Mar 31, 2026 | 2.68 Mn |
| Dec 31, 2025 | 2.80 Mn |
| Sep 30, 2025 | 2.50 Mn |
| Jun 30, 2025 | 2.50 Mn |
| Mar 31, 2025 | 2.15 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 2.95 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 1.05 Mn |
| Dec 31, 2023 | 800,000.00 |
| Sep 30, 2023 | 1.05 Mn |
| Jun 30, 2023 | 1.25 Mn |
| Mar 31, 2023 | 900,000.00 |
| Dec 31, 2022 | 1.25 Mn |
| Sep 30, 2022 | 2.25 Mn |
| Jun 30, 2022 | 2.25 Mn |
| Mar 31, 2022 | 950,000.00 |
| Dec 31, 2021 | 1.50 Mn |
Five Star Bancorp Provision for Credit 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-credit-losses&ticker=FSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "FSBC", "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-credit-losses&ticker=FSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();