Mid Penn Bancorp (MPB) Revenue (2009 - 2026)
Mid Penn Bancorp (MPB) reported Revenue of $75.87 million for Q2 2026, up 39.6% from $54.35 million a year earlier and up 17.0% from the prior quarter.
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Analysis
Mid Penn Bancorp (MPB) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mid Penn Bancorp's Revenue came in at $264.56 million, up 35.8% year-over-year; for FY2025, it came in at $225.94 million, up 26.1% from FY2024.
- Revenue has a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- By year, Revenue came in at $179.16 million in FY2024 (+7.3%), $166.98 million in FY2023 (-2.6%), $171.49 million in FY2022 (+31.8%) and $130.1 million in FY2021 (+22.6%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q2 2010.
- Year over year, Revenue has now increased in each of the last ten quarters, with growth averaging 24.6% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q3 2022 (growth of 39.6%); the low point was Q4 2023 (a decline of 7.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.85 million (Q1 2026), $62.03 million (Q4 2025) and $61.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | Mid Penn Bancorp | 881.41 Mn | 364.13 Mn | - | 74.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.68 Mn |
| Jun 30, 2026 | 75.87 Mn |
| Mar 31, 2026 | 64.85 Mn |
| Dec 31, 2025 | 62.03 Mn |
| Sep 30, 2025 | 61.81 Mn |
| Jun 30, 2025 | 54.35 Mn |
| Mar 31, 2025 | 47.75 Mn |
| Dec 31, 2024 | 47.43 Mn |
| Sep 30, 2024 | 45.35 Mn |
| Jun 30, 2024 | 44.10 Mn |
| Mar 31, 2024 | 42.29 Mn |
| Dec 31, 2023 | 42.12 Mn |
| Sep 30, 2023 | 42.83 Mn |
| Jun 30, 2023 | 41.66 Mn |
| Mar 31, 2023 | 40.37 Mn |
| Dec 31, 2022 | 45.29 Mn |
| Sep 30, 2022 | 45.37 Mn |
| Jun 30, 2022 | 40.66 Mn |
| Mar 31, 2022 | 40.16 Mn |
| Dec 31, 2021 | 35.03 Mn |
API Access
Mid Penn Bancorp Revenue 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=revenue&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();