Mechanics Bancorp (MCHB) EV to EBITDA (2012 - 2026)
Mechanics Bancorp's (MCHB) EV to EBITDA came in at 4.59 for Q2 2026, compared with 0.10 a year earlier and up 0.2% from the prior quarter.
Powered by 
Analysis
Mechanics Bancorp (MCHB) EV to EBITDA (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Mechanics Bancorp was -0.29; for FY2025, it came in at 3.76.
- In prior years, Mechanics Bancorp's EV to EBITDA was -2.88 in FY2024, -0.10 in FY2023, 2.56 in FY2022 (-52.5%) and 5.40 in FY2021 (+27.7%).
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA since Q1 2022.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 4.58 (Q1 2026), 3.77 (Q4 2025) and 3.20 (Q3 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 | Mechanics Bancorp | 3.29 Bn | -415.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.59 |
| Mar 31, 2026 | 4.58 |
| Dec 31, 2025 | 3.77 |
| Sep 30, 2025 | 3.20 |
| Jun 30, 2025 | 0.10 |
| Mar 31, 2025 | -0.07 |
| Dec 31, 2024 | -2.11 |
| Sep 30, 2024 | 0.29 |
| Jun 30, 2024 | -0.01 |
| Mar 31, 2024 | -0.17 |
| Dec 31, 2023 | -0.10 |
| Sep 30, 2023 | -0.40 |
| Jun 30, 2023 | -0.33 |
| Mar 31, 2023 | -0.20 |
| Dec 31, 2022 | 2.56 |
| Sep 30, 2022 | 2.91 |
| Jun 30, 2022 | 3.63 |
| Mar 31, 2022 | 4.80 |
| Dec 31, 2021 | 5.40 |
| Sep 30, 2021 | 3.44 |
API Access
Mechanics 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=MCHB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MCHB", "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=MCHB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();