Mid Penn Bancorp (MPB) Cash Due from Bank (2010 - 2026)
Mid Penn Bancorp's Cash Due from Bank was $86.65 million in Q2 2026, down 74.3% from $336.85 million a year earlier and down 38.6% from the prior quarter.
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Analysis
Mid Penn Bancorp (MPB) Cash Due from Bank (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash Due from Bank at Mid Penn Bancorp came in at $98.92 million, up 40.2% from FY2024.
- Cash Due from Bank shows a five-year compound annual growth rate of -20.1% (FY2020 to FY2025).
- In earlier years, Cash Due from Bank was $70.56 million in FY2024 (-27.1%), $96.76 million in FY2023 (+58.9%), $60.88 million in FY2022 (-93.3%) and $913.75 million in FY2021 (+200.8%).
- The Q2 2026 figure marks the lowest quarterly Cash Due from Bank since Q4 2024.
- Compared with a year earlier, Cash Due from Bank was higher in six of the last eight quarters, with growth averaging 43.4%.
- The best year-over-year quarter for Cash Due from Bank over five years was Q3 2021 (growth of 286.4%); the worst was Q4 2022 (a decline of 93.3%).
- Per Business Quant data, MPB's Cash Due from Bank in the three quarters before Q2 2026 was $141.19 million (Q1 2026), $98.92 million (Q4 2025) and $257.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 505.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 42.16 Bn |
| 10 | Mid Penn Bancorp | 896.35 Mn | 879.67 Mn | - | 86.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.65 Mn |
| Mar 31, 2026 | 141.19 Mn |
| Dec 31, 2025 | 98.92 Mn |
| Sep 30, 2025 | 257.17 Mn |
| Jun 30, 2025 | 336.85 Mn |
| Mar 31, 2025 | 107.25 Mn |
| Dec 31, 2024 | 70.56 Mn |
| Sep 30, 2024 | 144.40 Mn |
| Jun 30, 2024 | 105.73 Mn |
| Mar 31, 2024 | 68.09 Mn |
| Dec 31, 2023 | 96.76 Mn |
| Sep 30, 2023 | 118.10 Mn |
| Jun 30, 2023 | 93.88 Mn |
| Mar 31, 2023 | 62.17 Mn |
| Dec 31, 2022 | 60.88 Mn |
| Sep 30, 2022 | 94.68 Mn |
| Jun 30, 2022 | 236.79 Mn |
| Mar 31, 2022 | 758.43 Mn |
| Dec 31, 2021 | 913.75 Mn |
| Sep 30, 2021 | 754.94 Mn |
API Access
Mid Penn Bancorp Cash Due from Bank 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-due-from-bank&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "ticker": "MPB", "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-due-from-bank&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();