Quaint Oak Bancorp (QNTO) Occupancy Expense (2009 - 2026)
Quaint Oak Bancorp (QNTO) reported Occupancy Expense of $440,000 for Q3 2026, down 10.0% from $489,000 a year earlier but up 12.0% from the prior quarter.
Quaint Oak Bancorp (QNTO) Occupancy Expense (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Quaint Oak Bancorp's Occupancy Expense came in at $1.71 million, down 3.6% year-over-year; for FY2025, it came in at $1.8 million, up 26.9% from FY2024.
- Occupancy Expense has a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- By year, Occupancy Expense came in at $1.42 million in FY2024 (-14.4%), $1.66 million in FY2023 (-13.0%), $1.9 million in FY2022 (+17.5%) and $1.62 million in FY2021 (+77.5%).
- Five-year quarterly Occupancy Expense spans a low of $250,000 in Q1 2024 and a high of $541,000 in Q4 2022.
- Year over year, Occupancy Expense has now declined in each of the last three quarters, with growth averaging 11.6% over the last eight quarters.
- The high point for year-over-year Occupancy Expense in five years was Q4 2021 (growth of 99.2%); the low point was Q1 2024 (a decline of 26.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $393,000 (Q2 2026), $430,000 (Q1 2026) and $447,000 (Q4 2025).
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 | 440,000.00 |
| Jun 30, 2026 | 393,000.00 |
| Mar 31, 2026 | 430,000.00 |
| Dec 31, 2025 | 447,000.00 |
| Sep 30, 2025 | 489,000.00 |
| Jun 30, 2025 | 432,000.00 |
| Mar 31, 2025 | 431,000.00 |
| Dec 31, 2024 | 422,000.00 |
| Sep 30, 2024 | 330,000.00 |
| Jun 30, 2024 | 416,000.00 |
| Mar 31, 2024 | 250,000.00 |
| Dec 31, 2023 | 518,000.00 |
| Sep 30, 2023 | 446,000.00 |
| Jun 30, 2023 | 350,000.00 |
| Mar 31, 2023 | 342,000.00 |
| Dec 31, 2022 | 541,000.00 |
| Sep 30, 2022 | 477,000.00 |
| Jun 30, 2022 | 466,000.00 |
| Mar 31, 2022 | 420,000.00 |
| Dec 31, 2021 | 478,000.00 |
Quaint Oak Bancorp Occupancy Expense 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=occupancy-expense&ticker=QNTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();