FB Bancorp (FBLA) Tax Provisions (2023 - 2026)
FB Bancorp's Tax Provisions was -$129,000 in Q2 2026, compared with $258,000 a year earlier.
FB Bancorp (FBLA) Tax Provisions (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, FB Bancorp's Tax Provisions was $468,000 through Jun 30, 2026, down 40.7% year-over-year; for FY2025, it was $870,000, up 346.2% from FY2024.
- In earlier years, Tax Provisions was $195,000 in FY2024 (-40.9%) and $330,000 in FY2023.
- The Q2 2026 figure marks the lowest quarterly Tax Provisions since Q3 2024.
- Per Business Quant data, FBLA's Tax Provisions in the three quarters before Q2 2026 was $119,000 (Q1 2026), $222,000 (Q4 2025) and $256,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1.40 Bn |
| 10 | FB Bancorp | 268.50 Mn | 51.08 Mn | - | -129,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -129,000.00 |
| Mar 31, 2026 | 119,000.00 |
| Dec 31, 2025 | 222,000.00 |
| Sep 30, 2025 | 256,000.00 |
| Jun 30, 2025 | 258,000.00 |
| Mar 31, 2025 | 349,000.00 |
| Dec 31, 2024 | 429,000.00 |
| Sep 30, 2024 | -247,000.00 |
| Jun 30, 2024 | 243,000.00 |
| Mar 31, 2024 | -230,000.00 |
| Dec 31, 2023 | -29,000.00 |
| Sep 30, 2023 | 545,000.00 |
| Jun 30, 2023 | -177,000.00 |
FB Bancorp Tax Provisions 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=tax-provisions&ticker=FBLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FBLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();