Fifth District Bancorp (FDSB) Enterprise Value (2024 - 2026)
Fifth District Bancorp's Enterprise Value was $65.81 million in Q2 2026, up 60.7% from $40.97 million a year earlier and up 19.5% from the prior quarter.
Fifth District Bancorp (FDSB) Enterprise Value (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fifth District Bancorp's Enterprise Value was -$25.73 million through Jun 30, 2026; for FY2025, it came in at $46.38 million, up 43.8% from FY2024.
- In earlier years, Enterprise Value was $32.24 million in FY2024.
- The Q2 2026 figure marks the highest quarterly Enterprise Value in data going back to Q3 2024.
- Compared with a year earlier, Enterprise Value has increased for four straight quarters, with growth averaging 57.2% over the last four quarters.
- Per Business Quant data, FDSB's Enterprise Value in the three quarters before Q2 2026 was $55.08 million (Q1 2026), $46.38 million (Q4 2025) and $42 million (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 | 65.81 Mn |
| Mar 31, 2026 | 55.08 Mn |
| Dec 31, 2025 | 46.38 Mn |
| Sep 30, 2025 | 42.00 Mn |
| Jun 30, 2025 | 40.97 Mn |
| Mar 31, 2025 | 37.72 Mn |
| Dec 31, 2024 | 32.24 Mn |
| Sep 30, 2024 | 23.56 Mn |
Fifth District Bancorp Enterprise Value 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=enterprise-value&ticker=FDSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FDSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();