Mid Penn Bancorp (MPB) Provision for Losses (2009 - 2026)
Mid Penn Bancorp's Provision for Losses came in at -$1.56 million for Q3 2026, compared with -$434,000 a year earlier.
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Analysis
Mid Penn Bancorp (MPB) Provision for Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Mid Penn Bancorp reported Provision for Losses of -$278,000; for FY2025, it was $1.3 million, down 14.4% from FY2024.
- Provision for Losses has declined in each of the last three years, with a five-year compound annual growth rate of -20.9% (FY2020 to FY2025).
- Going back by year, Provision for Losses was $1.52 million in FY2024 (-59.0%), $3.7 million in FY2023 (-14.0%), $4.3 million in FY2022 (+46.0%) and $2.95 million in FY2021 (-29.9%).
- The Q3 2026 figure represents the lowest quarterly Provision for Losses in data going back to Q2 2010.
- The fastest year-over-year change in Provision for Losses over five years came in Q1 2026 (growth of 429.6%), and the weakest in Q2 2026 (a decline of 76.7%).
- Business Quant data shows MPB's Provision for Losses at $528,000 (Q2 2026), $1.59 million (Q1 2026) and -$839,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Mid Penn Bancorp | 881.41 Mn | 364.13 Mn | - | -1.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.56 Mn |
| Jun 30, 2026 | 528,000.00 |
| Mar 31, 2026 | 1.59 Mn |
| Dec 31, 2025 | -839,000.00 |
| Sep 30, 2025 | -434,000.00 |
| Jun 30, 2025 | 2.27 Mn |
| Mar 31, 2025 | 301,000.00 |
| Dec 31, 2024 | 333,000.00 |
| Sep 30, 2024 | 516,000.00 |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | -937,000.00 |
| Dec 31, 2023 | -665,000.00 |
| Sep 30, 2023 | 2.09 Mn |
| Jun 30, 2023 | 1.56 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 |
API Access
Mid Penn Bancorp Provision for Losses 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=provision-for-losses&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();