Mid Penn Bancorp (MPB) Securities - Held-to-maturity (2017 - 2026)
Mid Penn Bancorp's Securities - Held-to-maturity came in at $372.9 million for Q2 2026, up 2.4% from $364.03 million a year earlier and up 9.4% from the prior quarter.
Mid Penn Bancorp (MPB) Securities - Held-to-maturity (2017 - 2026) Analysis & Trends
At the end of FY2025, Mid Penn Bancorp's Securities - Held-to-maturity was $347.29 million, down 9.2% from FY2024.
- Securities - Held-to-maturity has declined in each of the last three years, though with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Going back by year, Securities - Held-to-maturity was $382.45 million in FY2024 (-4.2%), $399.13 million in FY2023 (-0.1%), $399.49 million in FY2022 (+21.3%) and $329.26 million in FY2021 (+156.6%).
- The Q2 2026 figure represents the highest quarterly Securities - Held-to-maturity since Q1 2025.
- Year-over-year, Securities - Held-to-maturity increased in 1 of the last eight quarters, with an average decline of 5.6%.
- The fastest year-over-year change in Securities - Held-to-maturity over five years came in Q1 2022 (growth of 178.1%), and the weakest in Q4 2025 (a decline of 9.2%).
- Business Quant data shows MPB's Securities - Held-to-maturity at $341 million (Q1 2026), $347.29 million (Q4 2025) and $354.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Mid Penn Bancorp | 896.35 Mn | 879.67 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 372.90 Mn |
| Mar 31, 2026 | 341.00 Mn |
| Dec 31, 2025 | 347.29 Mn |
| Sep 30, 2025 | 354.10 Mn |
| Jun 30, 2025 | 364.03 Mn |
| Mar 31, 2025 | 375.12 Mn |
| Dec 31, 2024 | 382.45 Mn |
| Sep 30, 2024 | 386.62 Mn |
| Jun 30, 2024 | 393.32 Mn |
| Mar 31, 2024 | 397.00 Mn |
| Dec 31, 2023 | 399.13 Mn |
| Sep 30, 2023 | 401.60 Mn |
| Jun 30, 2023 | 404.83 Mn |
| Mar 31, 2023 | 396.80 Mn |
| Dec 31, 2022 | 399.49 Mn |
| Sep 30, 2022 | 402.14 Mn |
| Jun 30, 2022 | 399.03 Mn |
| Mar 31, 2022 | 363.15 Mn |
| Dec 31, 2021 | 329.26 Mn |
| Sep 30, 2021 | 152.79 Mn |
Mid Penn Bancorp Securities - Held-to-maturity 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=securities-held-to-maturity&ticker=MPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-held-to-maturity", "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=securities-held-to-maturity&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();