Quaint Oak Bancorp (QNTO) Accumulated Expenses (2009 - 2026)
Quaint Oak Bancorp's Accumulated Expenses came in at $5.96 million for Q3 2026, up 9.9% from $5.43 million a year earlier and up 20.3% from the prior quarter.
Quaint Oak Bancorp (QNTO) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Quaint Oak Bancorp's Accumulated Expenses was $4.9 million, down 9.0% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $5.39 million in FY2024 (+120.9%), $2.44 million in FY2023 (-74.5%), $9.57 million in FY2022 (+59.8%) and $5.99 million in FY2021 (+74.7%).
- The Q3 2026 figure represents the highest quarterly Accumulated Expenses since Q3 2023.
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 47.6%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2022 (growth of 146.0%), and the weakest in Q2 2024 (a decline of 76.8%).
- Business Quant data shows QNTO's Accumulated Expenses at $4.96 million (Q2 2026), $4.72 million (Q1 2026) and $4.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 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 | Quaint Oak Bancorp | 39.77 Mn | 39.77 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.96 Mn |
| Jun 30, 2026 | 4.96 Mn |
| Mar 31, 2026 | 4.72 Mn |
| Dec 31, 2025 | 4.90 Mn |
| Sep 30, 2025 | 5.43 Mn |
| Jun 30, 2025 | 4.86 Mn |
| Mar 31, 2025 | 5.22 Mn |
| Dec 31, 2024 | 5.39 Mn |
| Sep 30, 2024 | 2.55 Mn |
| Jun 30, 2024 | 2.52 Mn |
| Mar 31, 2024 | 3.24 Mn |
| Dec 31, 2023 | 2.44 Mn |
| Sep 30, 2023 | 10.30 Mn |
| Jun 30, 2023 | 10.86 Mn |
| Mar 31, 2023 | 11.70 Mn |
| Dec 31, 2022 | 9.57 Mn |
| Sep 30, 2022 | 9.53 Mn |
| Jun 30, 2022 | 8.25 Mn |
| Mar 31, 2022 | 8.34 Mn |
| Dec 31, 2021 | 5.99 Mn |
Quaint Oak Bancorp Accumulated Expenses 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=accumulated-expenses&ticker=QNTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();