NSTS Bancorp (NSTS) EV to EBITDA (2022 - 2025)
NSTS Bancorp's (NSTS) EV to EBITDA stood at 9.89 in Q4 2025, up 221.0% from 3.08 a year earlier and up 27.8% from the prior quarter.
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Analysis
NSTS Bancorp (NSTS) EV to EBITDA (2022 - 2025) Analysis & Trends
For FY2025, NSTS Bancorp's EV to EBITDA came in at 80.03, up 298.9% from FY2024.
- Across earlier years, EV to EBITDA came in at 20.06 in FY2024 (-58.0%), 47.78 in FY2023 (-53.2%) and 102.05 in FY2022.
- The Q4 2025 figure is the highest quarterly EV to EBITDA since Q3 2023.
- Per Business Quant, the preceding three quarters came in at 7.74 (Q3 2025), 5.50 (Q2 2025) and 0.62 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | NSTS Bancorp | 74.54 Mn | -88.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.89 |
| Sep 30, 2025 | 7.74 |
| Jun 30, 2025 | 5.50 |
| Mar 31, 2025 | 0.62 |
| Dec 31, 2024 | 3.08 |
| Sep 30, 2023 | 28.95 |
| Jun 30, 2023 | 25.63 |
| Mar 31, 2023 | 22.67 |
| Dec 31, 2022 | 41.00 |
| Sep 30, 2022 | 73.65 |
| Jun 30, 2022 | 101.57 |
API Access
NSTS Bancorp EV to EBITDA 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=ev-to-ebitda&ticker=NSTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();