Mid Penn Bancorp (MPB) Amortization - Intangibles (2009 - 2026)
Mid Penn Bancorp (MPB) posted Amortization - Intangibles of $1.71 million for Q3 2026, up 80.9% from $944,000 a year earlier but down 6.1% from the prior quarter.
Mid Penn Bancorp (MPB) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Amortization - Intangibles at Mid Penn Bancorp was $5.76 million, up 122.5% year-over-year; for FY2025, it was $3.05 million, up 70.7% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- In prior years, Mid Penn Bancorp's Amortization - Intangibles was $1.78 million in FY2024 (+0.2%), $1.78 million in FY2023 (-11.5%), $2.01 million in FY2022 (+70.5%) and $1.18 million in FY2021 (-15.6%).
- Quarterly Amortization - Intangibles has run from a low of $344,000 in Q1 2023 to a high of $1.82 million in Q2 2026 over five years.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last six quarters, with growth averaging 87.9% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q1 2026, with growth of 203.7%; the weakest was Q1 2023, with a decline of 28.5%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $1.82 million (Q2 2026), $1.3 million (Q1 2026) and $930,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 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 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.71 Mn |
| Jun 30, 2026 | 1.82 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 930,000.00 |
| Sep 30, 2025 | 944,000.00 |
| Jun 30, 2025 | 744,000.00 |
| Mar 31, 2025 | 428,000.00 |
| Dec 31, 2024 | 471,000.00 |
| Sep 30, 2024 | 460,000.00 |
| Jun 30, 2024 | 425,000.00 |
| Mar 31, 2024 | 428,000.00 |
| Dec 31, 2023 | 491,000.00 |
| Sep 30, 2023 | 484,000.00 |
| Jun 30, 2023 | 461,000.00 |
| Mar 31, 2023 | 344,000.00 |
| Dec 31, 2022 | 496,000.00 |
| Sep 30, 2022 | 514,000.00 |
| Jun 30, 2022 | 521,000.00 |
| Mar 31, 2022 | 481,000.00 |
| Dec 31, 2021 | 357,000.00 |
Mid Penn Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=MPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();