Fifth District Bancorp (FDSB) EV to EBITDA (2024 - 2026)
Fifth District Bancorp's (FDSB) EV to EBITDA was 5.73 for Q2 2026, up 70.1% from 3.37 a year earlier and up 48.7% from the prior quarter.
Fifth District Bancorp (FDSB) EV to EBITDA (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fifth District Bancorp's EV to EBITDA came in at -2.24; for FY2025, it was 3.30, down 13.3% from FY2024.
- By year, EV to EBITDA came in at 3.80 in FY2024.
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA in data going back to Q3 2024.
- Year over year, EV to EBITDA gained in three of the last four quarters, with growth averaging 16.6%.
- Per Business Quant data, the three quarters before Q2 2026 came in at 3.86 (Q1 2026), 3.30 (Q4 2025) and 3.08 (Q3 2025).
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 | Fifth District Bancorp | 90.73 Mn | -19.97 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.73 |
| Mar 31, 2026 | 3.86 |
| Dec 31, 2025 | 3.30 |
| Sep 30, 2025 | 3.08 |
| Jun 30, 2025 | 3.37 |
| Mar 31, 2025 | 3.76 |
| Dec 31, 2024 | 3.80 |
| Sep 30, 2024 | 2.88 |
Fifth District 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=FDSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "FDSB", "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=FDSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();