Quaint Oak Bancorp (QNTO) Professional Fees (2009 - 2026)
Quaint Oak Bancorp's Professional Fees came in at $470,000 for Q3 2026, up 250.7% from $134,000 a year earlier and up 60.4% from the prior quarter.
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Analysis
Quaint Oak Bancorp (QNTO) Professional Fees (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Quaint Oak Bancorp reported Professional Fees of $2.43 million, up 87.6% year-over-year; for FY2025, it came in at $1.85 million, up 70.0% from FY2024.
- Professional Fees has increased in each of the last seven years, with a five-year compound annual growth rate of 27.9% (FY2020 to FY2025).
- Going back by year, Professional Fees was $1.09 million in FY2024 (+16.6%), $932,000 in FY2023 (+24.6%), $748,000 in FY2022 (+13.5%) and $659,000 in FY2021 (+21.8%).
- The five-year range for quarterly Professional Fees is $26,000 (Q3 2024) to $1.32 million (Q4 2025).
- Year-over-year, Professional Fees has increased for eight consecutive quarters, with growth averaging 132.6% over the last eight quarters.
- The fastest year-over-year change in Professional Fees over five years came in Q3 2025 (growth of 415.4%), and the weakest in Q3 2024 (a decline of 89.8%).
- Business Quant data shows QNTO's Professional Fees at $293,000 (Q2 2026), $349,000 (Q1 2026) and $1.32 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Quaint Oak Bancorp | 39.77 Mn | 39.77 Mn | - | 470,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 470,000.00 |
| Jun 30, 2026 | 293,000.00 |
| Mar 31, 2026 | 349,000.00 |
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 134,000.00 |
| Jun 30, 2025 | 174,000.00 |
| Mar 31, 2025 | 223,000.00 |
| Dec 31, 2024 | 764,000.00 |
| Sep 30, 2024 | 26,000.00 |
| Jun 30, 2024 | 156,000.00 |
| Mar 31, 2024 | 141,000.00 |
| Dec 31, 2023 | 335,000.00 |
| Sep 30, 2023 | 255,000.00 |
| Jun 30, 2023 | 193,000.00 |
| Mar 31, 2023 | 148,000.00 |
| Dec 31, 2022 | 79,000.00 |
| Sep 30, 2022 | 257,000.00 |
| Jun 30, 2022 | 228,000.00 |
| Mar 31, 2022 | 184,000.00 |
| Dec 31, 2021 | 171,000.00 |
API Access
Quaint Oak Bancorp 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=QNTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "QNTO", "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=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();