Mid Penn Bancorp (MPB) Change in Net Loans (2010 - 2026)
Mid Penn Bancorp (MPB) recorded Change in Net Loans of $109.04 million in Q2 2026, compared with -$52.74 million a year earlier and up 66.1% from the prior quarter.
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Analysis
Mid Penn Bancorp (MPB) Change in Net Loans (2010 - 2026) Analysis & Trends
On a TTM basis, Mid Penn Bancorp's Change in Net Loans came in at $202.46 million as of Jun 30, 2026, up 163.4% year-over-year; for FY2025, it came in at $25.52 million, down 86.6% from FY2024.
- Across earlier years, Change in Net Loans came in at $190.66 million in FY2024 (-55.1%), $424.94 million in FY2023 (+3.2%), $411.8 million in FY2022 and -$115.37 million in FY2021.
- The Q2 2026 figure is the highest quarterly Change in Net Loans since Q3 2023.
- On a year-over-year basis, Change in Net Loans rose in two of the last five quarters, with growth averaging 27.4%.
- Peak year-over-year performance for Change in Net Loans in the last five years was growth of 462.5% in Q1 2023, against a decline of 88.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $65.63 million (Q1 2026), $42.59 million (Q4 2025) and -$14.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Mid Penn Bancorp | 896.35 Mn | 879.67 Mn | - | 109.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.04 Mn |
| Mar 31, 2026 | 65.63 Mn |
| Dec 31, 2025 | 42.59 Mn |
| Sep 30, 2025 | -14.80 Mn |
| Jun 30, 2025 | -52.74 Mn |
| Mar 31, 2025 | 50.47 Mn |
| Dec 31, 2024 | 11.75 Mn |
| Sep 30, 2024 | 67.39 Mn |
| Jun 30, 2024 | 42.54 Mn |
| Mar 31, 2024 | 68.99 Mn |
| Dec 31, 2023 | 105.57 Mn |
| Sep 30, 2023 | 112.06 Mn |
| Jun 30, 2023 | 110.15 Mn |
| Mar 31, 2023 | 97.16 Mn |
| Dec 31, 2022 | 193.74 Mn |
| Sep 30, 2022 | 142.31 Mn |
| Jun 30, 2022 | 58.48 Mn |
| Mar 31, 2022 | 17.27 Mn |
| Mar 31, 2014 | 3.98 Mn |
| Dec 31, 2013 | 17.72 Mn |
API Access
Mid Penn Bancorp Change in Net Loans 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=change-in-net-loans&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();