Quaint Oak Bancorp (QNTO) EBITDA (2011 - 2026)
Quaint Oak Bancorp (QNTO) posted EBITDA of $5.88 million for Q2 2026, down 7.4% from $6.34 million a year earlier but up 3.3% from the prior quarter.
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Analysis
Quaint Oak Bancorp (QNTO) EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Quaint Oak Bancorp was $23.43 million, down 13.6% year-over-year; for FY2025, it came in at $24.09 million, down 18.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- In prior years, Quaint Oak Bancorp's EBITDA was $29.64 million in FY2024 (+0.3%), $29.56 million in FY2023 (+30.7%), $22.63 million in FY2022 (+60.7%) and $14.08 million in FY2021 (+36.4%).
- Quarterly EBITDA has run from a low of $3.71 million in Q3 2021 to a high of $8.13 million in Q4 2023 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last nine quarters, with an average decline of 10.6% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2022, with growth of 90.6%; the weakest was Q4 2025, with a decline of 27.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $5.69 million (Q1 2026), $5.92 million (Q4 2025) and $5.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Quaint Oak Bancorp | 38.97 Mn | -160.71 Mn | - | 5.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.88 Mn |
| Mar 31, 2026 | 5.69 Mn |
| Dec 31, 2025 | 5.92 Mn |
| Sep 30, 2025 | 5.95 Mn |
| Jun 30, 2025 | 6.34 Mn |
| Mar 31, 2025 | 5.87 Mn |
| Dec 31, 2024 | 8.13 Mn |
| Sep 30, 2024 | 6.79 Mn |
| Jun 30, 2024 | 7.15 Mn |
| Mar 31, 2024 | 7.58 Mn |
| Dec 31, 2023 | 8.13 Mn |
| Sep 30, 2023 | 6.88 Mn |
| Jun 30, 2023 | 8.01 Mn |
| Mar 31, 2023 | 6.32 Mn |
| Dec 31, 2022 | 5.88 Mn |
| Sep 30, 2022 | 7.08 Mn |
| Jun 30, 2022 | 4.55 Mn |
| Mar 31, 2022 | 5.12 Mn |
| Dec 31, 2021 | 4.42 Mn |
| Sep 30, 2021 | 3.71 Mn |
API Access
Quaint Oak Bancorp EBITDA 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=ebitda&ticker=QNTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();