Mid Penn Bancorp (MPB) EBIT (2010 - 2026)
Mid Penn Bancorp's EBIT came in at $58.98 million for Q2 2026, up 63.4% from $36.1 million a year earlier and up 47.5% from the prior quarter.
Mid Penn Bancorp (MPB) EBIT (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mid Penn Bancorp reported EBIT of $213.87 million, up 19.6% year-over-year; for FY2025, it came in at $197.05 million, up 3.7% from FY2024.
- EBIT has increased in each of the last four years, with a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- Going back by year, EBIT was $189.94 million in FY2024 (+41.7%), $134.06 million in FY2023 (+57.5%), $85.11 million in FY2022 (+67.5%) and $50.81 million in FY2021 (-0.5%).
- The Q2 2026 figure represents the highest quarterly EBIT in data going back to Q2 2010.
- Year-over-year, EBIT increased in five of the last eight quarters, with growth averaging 13.1%.
- The fastest year-over-year change in EBIT over five years came in Q4 2022 (growth of 603.6%), and the weakest in Q4 2021 (a decline of 74.1%).
- Business Quant data shows MPB's EBIT at $39.98 million (Q1 2026), $57.41 million (Q4 2025) and $57.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 19.01 Bn |
| 10 | Mid Penn Bancorp | 912.56 Mn | 895.87 Mn | - | 58.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.98 Mn |
| Mar 31, 2026 | 39.98 Mn |
| Dec 31, 2025 | 57.41 Mn |
| Sep 30, 2025 | 57.50 Mn |
| Jun 30, 2025 | 36.10 Mn |
| Mar 31, 2025 | 46.04 Mn |
| Dec 31, 2024 | 48.22 Mn |
| Sep 30, 2024 | 48.54 Mn |
| Jun 30, 2024 | 46.74 Mn |
| Mar 31, 2024 | 46.45 Mn |
| Dec 31, 2023 | 43.51 Mn |
| Sep 30, 2023 | 37.45 Mn |
| Jun 30, 2023 | 25.11 Mn |
| Mar 31, 2023 | 27.99 Mn |
| Dec 31, 2022 | 27.46 Mn |
| Sep 30, 2022 | 22.70 Mn |
| Jun 30, 2022 | 17.81 Mn |
| Mar 31, 2022 | 17.14 Mn |
| Dec 31, 2021 | 3.90 Mn |
| Sep 30, 2021 | 15.81 Mn |
Mid Penn Bancorp EBIT 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=ebit&ticker=MPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();