NSTS Bancorp (NSTS) Price to Sales (2022 - 2026)
NSTS Bancorp's Price to Sales was 280.17 in Q2 2026, up 10.2% from 254.32 a year earlier.
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Analysis
NSTS Bancorp (NSTS) Price to Sales (2022 - 2026) Analysis & Trends
For FY2025, Price to Sales at NSTS Bancorp came in at 270.38, up 11.7% from FY2024.
- In earlier years, Price to Sales was 241.98 in FY2024 (+29.3%), 187.22 in FY2023 (-0.4%) and 187.91 in FY2022.
- The Q2 2026 figure marks the highest quarterly Price to Sales in data going back to Q1 2022.
- The best year-over-year quarter for Price to Sales over five years was Q2 2025 (growth of 30.7%); the worst was Q2 2023 (a decline of 11.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | NSTS Bancorp | 74.91 Mn | -88.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.17 |
| Dec 31, 2025 | 270.38 |
| Sep 30, 2025 | 238.97 |
| Jun 30, 2025 | 254.32 |
| Mar 31, 2025 | 233.26 |
| Dec 31, 2024 | 241.98 |
| Sep 30, 2024 | 210.80 |
| Jun 30, 2024 | 194.64 |
| Mar 31, 2024 | 189.92 |
| Dec 31, 2023 | 187.22 |
| Sep 30, 2023 | 180.75 |
| Jun 30, 2023 | 181.84 |
| Mar 31, 2023 | 173.38 |
| Dec 31, 2022 | 188.56 |
| Sep 30, 2022 | 198.66 |
| Jun 30, 2022 | 205.27 |
| Mar 31, 2022 | 178.04 |
API Access
NSTS 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=NSTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "NSTS", "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=NSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();