FB Bancorp (FBLA) Securities - Tradable (2023 - 2026)
FB Bancorp (FBLA) recorded Securities - Tradable of $338.04 million in Q2 2026, up 29.9% from $260.17 million a year earlier but down 2.6% from the prior quarter.
FB Bancorp (FBLA) Securities - Tradable (2023 - 2026) Analysis & Trends
At the end of FY2025, FB Bancorp reported Securities - Tradable of $326.35 million, up 33.7% from FY2024.
- Across earlier years, Securities - Tradable came in at $244.12 million in FY2024 (-2.3%) and $249.9 million in FY2023.
- Quarterly Securities - Tradable has ranged from $244.03 million in Q3 2024 to $346.94 million in Q1 2026 over the past five years.
- On a year-over-year basis, Securities - Tradable has increased for five consecutive quarters, with growth averaging 21.0% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at $346.94 million (Q1 2026), $326.35 million (Q4 2025) and $298.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | FB Bancorp | 268.50 Mn | 51.08 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 338.04 Mn |
| Mar 31, 2026 | 346.94 Mn |
| Dec 31, 2025 | 326.35 Mn |
| Sep 30, 2025 | 298.33 Mn |
| Jun 30, 2025 | 260.17 Mn |
| Mar 31, 2025 | 251.00 Mn |
| Dec 31, 2024 | 244.12 Mn |
| Sep 30, 2024 | 244.03 Mn |
| Jun 30, 2024 | 249.20 Mn |
| Dec 31, 2023 | 249.90 Mn |
FB Bancorp Securities - Tradable 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=securities-tradable&ticker=FBLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-tradable", "ticker": "FBLA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=securities-tradable&ticker=FBLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();