Fifth District Bancorp (FDSB) EPS (Diluted) (2024 - 2026)
Fifth District Bancorp (FDSB) reported EPS (Diluted) of $0.08 for Q2 2026, down 87.0% from $0.61 a year earlier but up 0.1% from the prior quarter.
Fifth District Bancorp (FDSB) EPS (Diluted) (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fifth District Bancorp's EPS (Diluted) came in at $0.34, down 32.1% year-over-year; for FY2025, it came in at $0.80.
- By year, EPS (Diluted) came in at -$0.21 in FY2024.
- Five-year quarterly EPS (Diluted) spans a low of -$0.15 in Q3 2024 and a high of $0.61 in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $0.08 (Q1 2026), $0.11 (Q4 2025) and $0.07 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 7.70 |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 0.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.20 |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 3.46 |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 3.06 |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2.15 |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.99 |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2.00 |
| 10 | Fifth District Bancorp | 90.73 Mn | -19.97 Mn | - | 0.08 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.08 |
| Mar 31, 2026 | 0.08 |
| Dec 31, 2025 | 0.11 |
| Sep 30, 2025 | 0.07 |
| Jun 30, 2025 | 0.61 |
| Mar 31, 2025 | 0.02 |
| Dec 31, 2024 | 0.03 |
| Sep 30, 2024 | -0.15 |
Fifth District Bancorp EPS (Diluted) 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=eps-diluted&ticker=FDSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=FDSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();