Mechanics Bancorp (MCHB) Cash & Equivalents (2010 - 2026)
Mechanics Bancorp (MCHB) reported Cash & Equivalents of $553.92 million for Q2 2026, up 175.5% from $201.08 million a year earlier and up 14.6% from the prior quarter.
Mechanics Bancorp (MCHB) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Mechanics Bancorp posted Cash & Equivalents of $1.03 billion, up 3.0% from FY2024.
- Cash & Equivalents has increased for six consecutive years, with a five-year compound annual growth rate of 77.7% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $999.71 million in FY2024 (+363.6%), $215.66 million in FY2023 (+196.1%), $72.83 million in FY2022 (+11.7%) and $65.21 million in FY2021 (+12.3%).
- Five-year quarterly Cash & Equivalents spans a low of $57.26 million in Q3 2022 and a high of $1.44 billion in Q3 2025.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 149.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2025 (growth of 600.7%); the low point was Q3 2022 (a decline of 73.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $483.51 million (Q1 2026), $1.03 billion (Q4 2025) and $1.44 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Mechanics Bancorp | 3.28 Bn | -422.25 Mn | - | 553.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 553.92 Mn |
| Mar 31, 2026 | 483.51 Mn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jun 30, 2025 | 201.08 Mn |
| Mar 31, 2025 | 252.16 Mn |
| Dec 31, 2024 | 999.71 Mn |
| Sep 30, 2024 | 205.89 Mn |
| Jun 30, 2024 | 218.73 Mn |
| Mar 31, 2024 | 320.33 Mn |
| Dec 31, 2023 | 215.66 Mn |
| Sep 30, 2023 | 226.70 Mn |
| Jun 30, 2023 | 173.10 Mn |
| Mar 31, 2023 | 377.03 Mn |
| Dec 31, 2022 | 72.83 Mn |
| Sep 30, 2022 | 57.26 Mn |
| Jun 30, 2022 | 75.28 Mn |
| Mar 31, 2022 | 73.86 Mn |
| Dec 31, 2021 | 65.21 Mn |
| Sep 30, 2021 | 218.66 Mn |
Mechanics Bancorp Cash & Equivalents 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=cash-and-equivalents&ticker=MCHB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MCHB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();