Fifth District Bancorp (FDSB) Price to Sales (2024 - 2026)
Fifth District Bancorp's Price to Sales was 139.53 in Q2 2026, up 22.3% from 114.05 a year earlier and up 5.9% from the prior quarter.
Analysis
Fifth District Bancorp (FDSB) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, Price to Sales at Fifth District Bancorp came in at 132.62, up 17.0% from FY2024.
- In earlier years, Price to Sales was 113.34 in FY2024.
- The Q2 2026 figure marks the highest quarterly Price to Sales in data going back to Q3 2024.
- Compared with a year earlier, Price to Sales has increased for four straight quarters, with growth averaging 25.0% over the last four quarters.
- Per Business Quant data, FDSB's Price to Sales in the three quarters before Q2 2026 was 131.74 (Q1 2026), 135.53 (Q4 2025) and 128.80 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | Fifth District Bancorp | 90.73 Mn | -19.97 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.53 |
| Mar 31, 2026 | 131.74 |
| Dec 31, 2025 | 135.53 |
| Sep 30, 2025 | 128.80 |
| Jun 30, 2025 | 114.05 |
| Mar 31, 2025 | 110.11 |
| Dec 31, 2024 | 113.16 |
| Sep 30, 2024 | 93.29 |
API Access
Fifth District Bancorp Price to Sales 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=price-to-sales&ticker=FDSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=FDSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();