Mechanics Bancorp (MCHB) EBIT (2011 - 2026)
Mechanics Bancorp's EBIT was $140.03 million in Q2 2026, up 30.8% from $107.07 million a year earlier and up 12.2% from the prior quarter.
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Analysis
Mechanics Bancorp (MCHB) EBIT (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mechanics Bancorp's EBIT was $596.74 million through Jun 30, 2026, up 33.8% year-over-year; for FY2025, it came in at $545.6 million, up 116.3% from FY2024.
- EBIT has now increased for three consecutive years, with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- In earlier years, EBIT was $252.25 million in FY2024 (+26.0%), $200.23 million in FY2023 (+28.7%), $155.64 million in FY2022 (-5.1%) and $163.93 million in FY2021 (+12.9%).
- Quarterly EBIT has moved between $20.61 million (Q2 2023) and $227.63 million (Q4 2025) over five years.
- Compared with a year earlier, EBIT has increased for three straight quarters, with growth averaging 56.4% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q2 2024 (growth of 207.8%); the worst was Q2 2023 (a decline of 31.5%).
- Per Business Quant data, MCHB's EBIT in the three quarters before Q2 2026 was $124.76 million (Q1 2026), $227.63 million (Q4 2025) and $104.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 19.01 Bn |
| 10 | Mechanics Bancorp | 3.29 Bn | -415.61 Mn | - | 140.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.03 Mn |
| Mar 31, 2026 | 124.76 Mn |
| Dec 31, 2025 | 227.63 Mn |
| Sep 30, 2025 | 104.32 Mn |
| Jun 30, 2025 | 107.07 Mn |
| Mar 31, 2025 | 106.59 Mn |
| Dec 31, 2024 | 115.65 Mn |
| Sep 30, 2024 | 116.63 Mn |
| Jun 30, 2024 | 63.42 Mn |
| Mar 31, 2024 | 59.83 Mn |
| Dec 31, 2023 | 62.28 Mn |
| Sep 30, 2023 | 63.19 Mn |
| Jun 30, 2023 | 20.61 Mn |
| Mar 31, 2023 | 54.16 Mn |
| Dec 31, 2022 | 49.63 Mn |
| Sep 30, 2022 | 46.84 Mn |
| Jun 30, 2022 | 30.07 Mn |
| Mar 31, 2022 | 29.11 Mn |
| Dec 31, 2021 | 41.62 Mn |
| Sep 30, 2021 | 38.74 Mn |
API Access
Mechanics Bancorp EBIT 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=ebit&ticker=MCHB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MCHB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();