Bogota Financial (BSBK) Professional Fees (2018 - 2026)
Bogota Financial (BSBK) posted Professional Fees of $331,429 for Q3 2026, down 8.3% from $361,620 a year earlier but up 34.1% from the prior quarter.
Bogota Financial (BSBK) Professional Fees (2018 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Professional Fees at Bogota Financial was $942,618, down 9.3% year-over-year; for FY2025, it came in at $1.05 million, up 33.5% from FY2024.
- Annual Professional Fees has increased for three consecutive years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In prior years, Bogota Financial's Professional Fees was $789,646 in FY2024 (+19.5%), $661,045 in FY2023 (+21.1%), $546,004 in FY2022 (-25.7%) and $735,067 in FY2021 (-15.0%).
- Quarterly Professional Fees has run from a low of $86,751 in Q4 2022 to a high of $372,364 in Q2 2025 over five years.
- On a year-over-year basis, Professional Fees increased in five of the last eight quarters, with growth averaging 3.3%.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q4 2023, with growth of 186.5%; the weakest was Q4 2024, with a decline of 56.9%.
- According to Business Quant data, Professional Fees for the three prior quarters was $247,166 (Q2 2026), $242,281 (Q1 2026) and $121,742 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 424.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.17 Bn |
| 10 | Bogota Financial | 118.26 Mn | 118.26 Mn | - | 331,429.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 331,429.00 |
| Jun 30, 2026 | 247,166.00 |
| Mar 31, 2026 | 242,281.00 |
| Dec 31, 2025 | 121,742.00 |
| Sep 30, 2025 | 361,620.00 |
| Jun 30, 2025 | 372,364.00 |
| Mar 31, 2025 | 198,730.00 |
| Dec 31, 2024 | 107,129.00 |
| Sep 30, 2024 | 248,420.00 |
| Jun 30, 2024 | 260,112.00 |
| Mar 31, 2024 | 196,785.00 |
| Dec 31, 2023 | 248,526.00 |
| Sep 30, 2023 | 149,251.00 |
| Jun 30, 2023 | 114,018.00 |
| Mar 31, 2023 | 149,250.00 |
| Dec 31, 2022 | 86,751.00 |
| Sep 30, 2022 | 163,500.00 |
| Jun 30, 2022 | 151,490.00 |
| Mar 31, 2022 | 144,263.00 |
| Dec 31, 2021 | 138,787.00 |
Bogota Financial Professional Fees 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=professional-fees&ticker=BSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "BSBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=BSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();