Mid Penn Bancorp (MPB) Total Liabilities (2010 - 2026)
Mid Penn Bancorp (MPB) reported Total Liabilities of $6.16 billion for Q2 2026, up 10.4% from $5.58 billion a year earlier and up 1.4% from the prior quarter.
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Analysis
Mid Penn Bancorp (MPB) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Mid Penn Bancorp posted Total Liabilities of $5.32 billion, up 10.5% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $4.82 billion in FY2024 (+1.4%), $4.75 billion in FY2023 (+19.1%), $3.99 billion in FY2022 (-5.1%) and $4.2 billion in FY2021 (+53.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last 13 quarters, with growth averaging 10.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 53.1%); the low point was Q4 2022 (a decline of 5.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.08 billion (Q1 2026), $5.32 billion (Q4 2025) and $5.47 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2,099.88 Bn |
| 10 | Mid Penn Bancorp | 912.56 Mn | 895.87 Mn | - | 6.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.16 Bn |
| Mar 31, 2026 | 6.08 Bn |
| Dec 31, 2025 | 5.32 Bn |
| Sep 30, 2025 | 5.47 Bn |
| Jun 30, 2025 | 5.58 Bn |
| Mar 31, 2025 | 4.88 Bn |
| Dec 31, 2024 | 4.82 Bn |
| Sep 30, 2024 | 4.95 Bn |
| Jun 30, 2024 | 4.83 Bn |
| Mar 31, 2024 | 4.78 Bn |
| Dec 31, 2023 | 4.75 Bn |
| Sep 30, 2023 | 4.69 Bn |
| Jun 30, 2023 | 4.56 Bn |
| Mar 31, 2023 | 4.07 Bn |
| Dec 31, 2022 | 3.99 Bn |
| Sep 30, 2022 | 3.83 Bn |
| Jun 30, 2022 | 3.81 Bn |
| Mar 31, 2022 | 4.17 Bn |
| Dec 31, 2021 | 4.20 Bn |
| Sep 30, 2021 | 3.10 Bn |
API Access
Mid Penn Bancorp Total Liabilities 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=total-liabilities&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();