Mechanics Bancorp (MCHB) EBITDA (2011 - 2026)
Mechanics Bancorp's EBITDA came in at $150.61 million for Q2 2026, up 35.4% from $111.22 million a year earlier and up 11.3% from the prior quarter.
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Analysis
Mechanics Bancorp (MCHB) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mechanics Bancorp reported EBITDA of $635.7 million, up 37.1% year-over-year; for FY2025, it came in at $573.35 million, up 110.6% from FY2024.
- EBITDA has increased in each of the last three years, with a five-year compound annual growth rate of 29.0% (FY2020 to FY2025).
- Going back by year, EBITDA was $272.27 million in FY2024 (+27.7%), $213.16 million in FY2023 (+23.2%), $173.04 million in FY2022 (-4.6%) and $181.42 million in FY2021 (+13.1%).
- The five-year range for quarterly EBITDA is $23.85 million (Q2 2023) to $238.57 million (Q4 2025).
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 57.2% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2024 (growth of 179.0%), and the weakest in Q2 2023 (a decline of 31.7%).
- Business Quant data shows MCHB's EBITDA at $135.36 million (Q1 2026), $238.57 million (Q4 2025) and $111.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Mechanics Bancorp | 3.29 Bn | -415.61 Mn | - | 150.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.61 Mn |
| Mar 31, 2026 | 135.36 Mn |
| Dec 31, 2025 | 238.57 Mn |
| Sep 30, 2025 | 111.16 Mn |
| Jun 30, 2025 | 111.22 Mn |
| Mar 31, 2025 | 110.83 Mn |
| Dec 31, 2024 | 119.93 Mn |
| Sep 30, 2024 | 121.63 Mn |
| Jun 30, 2024 | 66.56 Mn |
| Mar 31, 2024 | 62.89 Mn |
| Dec 31, 2023 | 65.40 Mn |
| Sep 30, 2023 | 66.32 Mn |
| Jun 30, 2023 | 23.85 Mn |
| Mar 31, 2023 | 57.59 Mn |
| Dec 31, 2022 | 53.84 Mn |
| Sep 30, 2022 | 50.84 Mn |
| Jun 30, 2022 | 34.95 Mn |
| Mar 31, 2022 | 33.42 Mn |
| Dec 31, 2021 | 46.58 Mn |
| Sep 30, 2021 | 43.00 Mn |
API Access
Mechanics Bancorp 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=ebitda&ticker=MCHB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=MCHB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();