Mid Penn Bancorp (MPB) Interest Expenses (2010 - 2026)
Mid Penn Bancorp (MPB) posted Interest Expenses of $31.41 million for Q2 2026, down 1.3% from $31.81 million a year earlier but up 9.5% from the prior quarter.
Powered by 
Analysis
Mid Penn Bancorp (MPB) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Mid Penn Bancorp was $123.71 million, down 2.4% year-over-year; for FY2025, it came in at $124.68 million, down 4.0% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 44.6% (FY2020 to FY2025).
- In prior years, Mid Penn Bancorp's Interest Expenses was $129.91 million in FY2024 (+45.4%), $89.37 million in FY2023 (+403.0%), $17.77 million in FY2022 (+20.4%) and $14.75 million in FY2021 (-25.2%).
- Quarterly Interest Expenses has run from a low of $2.79 million in Q2 2022 to a high of $33.67 million in Q3 2024 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last six quarters, with growth averaging 2.5% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2023, with growth of 622.5%; the weakest was Q2 2022, with a decline of 27.6%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $28.68 million (Q1 2026), $30.39 million (Q4 2025) and $33.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 10.97 Bn |
| 10 | Mid Penn Bancorp | 912.56 Mn | 895.87 Mn | - | 31.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.41 Mn |
| Mar 31, 2026 | 28.68 Mn |
| Dec 31, 2025 | 30.39 Mn |
| Sep 30, 2025 | 33.24 Mn |
| Jun 30, 2025 | 31.81 Mn |
| Mar 31, 2025 | 29.24 Mn |
| Dec 31, 2024 | 32.03 Mn |
| Sep 30, 2024 | 33.67 Mn |
| Jun 30, 2024 | 32.47 Mn |
| Mar 31, 2024 | 31.74 Mn |
| Dec 31, 2023 | 29.12 Mn |
| Sep 30, 2023 | 25.94 Mn |
| Jun 30, 2023 | 20.14 Mn |
| Mar 31, 2023 | 14.18 Mn |
| Dec 31, 2022 | 8.17 Mn |
| Sep 30, 2022 | 3.60 Mn |
| Jun 30, 2022 | 2.79 Mn |
| Mar 31, 2022 | 3.22 Mn |
| Dec 31, 2021 | 3.31 Mn |
| Sep 30, 2021 | 3.75 Mn |
API Access
Mid Penn Bancorp Interest Expenses 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=interest-expenses&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();