Mercer Bancorp (MSBB) EV to EBITDA (2023 - 2026)
Mercer Bancorp's (MSBB) EV to EBITDA stood at 2.56 in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 36.3% from 1.88 a year earlier but down 10.3% from the prior quarter.
Mercer Bancorp (MSBB) EV to EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Mercer Bancorp's EV to EBITDA came in at -0.68 as of Mar 31, 2026; for FY2025 (ended Sep 30, 2025), it came in at 2.48, up 33.1% from FY2024.
- Across earlier fiscal years, EV to EBITDA came in at 1.86 in FY2024 (-56.4%) and 4.27 in FY2023.
- Quarterly EV to EBITDA has ranged from 1.86 in fiscal Q4 2024 to 4.27 in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, EV to EBITDA has increased for four consecutive quarters, with an average decline of 0.5% over the last seven quarters.
- Per Business Quant, the preceding three fiscal quarters came in at 2.85 (Q1 2026), 2.48 (Q4 2025) and 2.59 (Q3 2025).
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 | Mercer Bancorp | 21.28 Mn | 1.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.56 |
| Dec 31, 2025 | 2.85 |
| Sep 30, 2025 | 2.48 |
| Jun 30, 2025 | 2.59 |
| Mar 31, 2025 | 1.88 |
| Dec 31, 2024 | 2.29 |
| Sep 30, 2024 | 1.86 |
| Jun 30, 2024 | 2.44 |
| Mar 31, 2024 | 2.50 |
| Dec 31, 2023 | 2.94 |
| Sep 30, 2023 | 4.27 |
Mercer 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=MSBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MSBB", "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=MSBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();