NSTS Bancorp (NSTS) Price to Book (2022 - 2026)
NSTS Bancorp's Price to Book was 0.90 in Q2 2026, up 8.7% from 0.83 a year earlier.
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Analysis
NSTS Bancorp (NSTS) Price to Book (2022 - 2026) Analysis & Trends
For FY2025, Price to Book at NSTS Bancorp came in at 0.85, up 5.2% from FY2024.
- In earlier years, Price to Book was 0.81 in FY2024 (+24.2%), 0.65 in FY2023 (-4.0%) and 0.68 in FY2022.
- The Q2 2026 figure marks the highest quarterly Price to Book in data going back to Q1 2022.
- The best year-over-year quarter for Price to Book over five years was Q2 2025 (growth of 24.5%); the worst was Q3 2023 (a decline of 13.6%).
Peer Set
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 | NSTS Bancorp | 74.91 Mn | -88.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.90 |
| Dec 31, 2025 | 0.85 |
| Sep 30, 2025 | 0.77 |
| Jun 30, 2025 | 0.83 |
| Mar 31, 2025 | 0.76 |
| Dec 31, 2024 | 0.81 |
| Sep 30, 2024 | 0.70 |
| Jun 30, 2024 | 0.67 |
| Mar 31, 2024 | 0.66 |
| Dec 31, 2023 | 0.65 |
| Sep 30, 2023 | 0.64 |
| Jun 30, 2023 | 0.63 |
| Mar 31, 2023 | 0.60 |
| Dec 31, 2022 | 0.68 |
| Sep 30, 2022 | 0.74 |
| Jun 30, 2022 | 0.72 |
| Mar 31, 2022 | 0.60 |
API Access
NSTS Bancorp Price to Book 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-book&ticker=NSTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=NSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();