Quaint Oak Bancorp (QNTO) EV to EBITDA (2011 - 2026)
Quaint Oak Bancorp's (QNTO) EV to EBITDA came in at -0.24 for Q2 2026, compared with -0.77 a year earlier.
Analysis
Quaint Oak Bancorp (QNTO) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Quaint Oak Bancorp was -6.70; for FY2025, it was -0.96.
- In prior years, Quaint Oak Bancorp's EV to EBITDA was -1.23 in FY2024, -0.92 in FY2023, 2.14 in FY2022 (+1.7%) and 2.10 in FY2021.
- Quarterly EV to EBITDA has run from a low of -3.88 in Q1 2024 to a high of 2.14 in Q4 2022 over five years.
- According to Business Quant data, EV to EBITDA for the three prior quarters was -0.11 (Q1 2026), -0.96 (Q4 2025) and -0.99 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Quaint Oak Bancorp | 38.97 Mn | -160.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.24 |
| Mar 31, 2026 | -0.11 |
| Dec 31, 2025 | -0.96 |
| Sep 30, 2025 | -0.99 |
| Jun 30, 2025 | -0.77 |
| Mar 31, 2025 | -0.73 |
| Dec 31, 2024 | -1.23 |
| Sep 30, 2024 | -1.14 |
| Jun 30, 2024 | -1.59 |
| Mar 31, 2024 | -3.88 |
| Dec 31, 2023 | -0.93 |
| Sep 30, 2023 | 0.92 |
| Jun 30, 2023 | 1.15 |
| Mar 31, 2023 | 1.96 |
| Dec 31, 2022 | 2.14 |
| Sep 30, 2022 | 2.04 |
| Jun 30, 2022 | -1.40 |
| Mar 31, 2022 | 0.29 |
| Dec 31, 2021 | 2.10 |
| Sep 30, 2021 | 1.96 |
API Access
Quaint Oak Bancorp EV to 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=ev-to-ebitda&ticker=QNTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();