Five Star Bancorp (FSBC) Subordinated Debt (2020 - 2026)
Five Star Bancorp's Subordinated Debt was $74.15 million in Q3 2026, up 0.2% from $74 million a year earlier and unchanged from the prior quarter.
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Analysis
Five Star Bancorp (FSBC) Subordinated Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Subordinated Debt at Five Star Bancorp came in at $74.04 million, up 0.2% from FY2024.
- Subordinated Debt has now increased for five consecutive years, with a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In earlier years, Subordinated Debt was $73.9 million in FY2024 (+0.2%), $73.75 million in FY2023 (+0.2%), $73.61 million in FY2022 (+159.3%) and $28.39 million in FY2021 (+0.2%).
- The Q3 2026 figure marks the highest quarterly Subordinated Debt since Q3 2022.
- Compared with a year earlier, Subordinated Debt has increased for 12 straight quarters, with growth averaging 0.2% over the last eight quarters.
- The best year-over-year quarter for Subordinated Debt over five years was Q3 2022 (growth of 259.6%); the worst was Q3 2023 (a decline of 27.8%).
- Per Business Quant data, FSBC's Subordinated Debt in the three quarters before Q3 2026 was $74.11 million (Q2 2026), $74.1 million (Q1 2026) and $74.04 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Subordinated Debt (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 | - | 9.69 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | -626.05 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 | Five Star Bancorp | 1.08 Bn | -1.43 Bn | - | 74.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.20 Mn |
| Jun 30, 2026 | 74.11 Mn |
| Mar 31, 2026 | 74.10 Mn |
| Dec 31, 2025 | 74.04 Mn |
| Sep 30, 2025 | 74.00 Mn |
| Jun 30, 2025 | 74.00 Mn |
| Mar 31, 2025 | 73.93 Mn |
| Dec 31, 2024 | 73.90 Mn |
| Sep 30, 2024 | 73.90 Mn |
| Jun 30, 2024 | 73.82 Mn |
| Mar 31, 2024 | 73.80 Mn |
| Dec 31, 2023 | 73.75 Mn |
| Sep 30, 2023 | 73.71 Mn |
| Jun 30, 2023 | 73.70 Mn |
| Mar 31, 2023 | 73.64 Mn |
| Dec 31, 2022 | 73.61 Mn |
| Sep 30, 2022 | 102.03 Mn |
| Jun 30, 2022 | 28.42 Mn |
| Mar 31, 2022 | 28.40 Mn |
| Dec 31, 2021 | 28.39 Mn |
API Access
Five Star Bancorp Subordinated Debt 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=subordinated-debt&ticker=FSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "subordinated-debt", "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=subordinated-debt&ticker=FSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();