Mid Penn Bancorp (MPB) Cash & Equivalents (2009 - 2026)
Mid Penn Bancorp (MPB) recorded Cash & Equivalents of $6.71 million in Q2 2022, down 9.9% from the prior quarter.
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Analysis
Mid Penn Bancorp (MPB) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2021, Mid Penn Bancorp reported Cash & Equivalents of $7.71 million.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Mid Penn Bancorp | 881.41 Mn | 364.13 Mn | - | 169.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 169.11 Mn |
| 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 | 6.71 Mn |
| Mar 31, 2022 | 7.44 Mn |
| Dec 31, 2021 | 7.71 Mn |
API Access
Mid Penn 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=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();