Mid Penn Bancorp (MPB) Provisions (2010 - 2026)
Mid Penn Bancorp's Provisions came in at $557,000 for Q2 2026, down 75.5% from $2.27 million a year earlier and down 66.2% from the prior quarter.
Mid Penn Bancorp (MPB) Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mid Penn Bancorp reported Provisions of $990,000, down 72.3% year-over-year; for FY2025, it was $1.6 million, down 25.5% from FY2024.
- Provisions has declined in each of the last three years, with a five-year compound annual growth rate of -17.6% (FY2020 to FY2025).
- Going back by year, Provisions was $2.14 million in FY2024 (-42.0%), $3.7 million in FY2023 (-14.0%), $4.3 million in FY2022 (+46.0%) and $2.95 million in FY2021 (-29.9%).
- The five-year range for quarterly Provisions is -$937,000 (Q1 2024) to $2.27 million (Q2 2025).
- Year-over-year, Provisions increased in two of the last five quarters, with growth averaging 50.5%.
- The fastest year-over-year change in Provisions over five years came in Q1 2026 (growth of 413.4%), and the weakest in Q2 2026 (a decline of 75.5%).
- Business Quant data shows MPB's Provisions at $1.65 million (Q1 2026), -$781,000 (Q4 2025) and -$434,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 914.00 Mn |
| 10 | Mid Penn Bancorp | 912.56 Mn | 895.87 Mn | - | 557,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 557,000.00 |
| Mar 31, 2026 | 1.65 Mn |
| Dec 31, 2025 | -781,000.00 |
| Sep 30, 2025 | -434,000.00 |
| Jun 30, 2025 | 2.27 Mn |
| Mar 31, 2025 | 321,000.00 |
| Dec 31, 2024 | 360,000.00 |
| Sep 30, 2024 | 621,000.00 |
| Jun 30, 2024 | 1.78 Mn |
| Mar 31, 2024 | -937,000.00 |
| Dec 31, 2023 | 625,000.00 |
| Sep 30, 2023 | 2.09 Mn |
| Jun 30, 2023 | 1.16 Mn |
| Mar 31, 2023 | 719,000.00 |
| Dec 31, 2022 | 525,000.00 |
| Sep 30, 2022 | 1.55 Mn |
| Jun 30, 2022 | 1.73 Mn |
| Mar 31, 2022 | 500,000.00 |
| Dec 31, 2021 | 370,000.00 |
| Sep 30, 2021 | 425,000.00 |
Mid Penn Bancorp Provisions 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=provisions&ticker=MPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();