Mid Penn Bancorp (MPB) Shares Outstanding (2010 - 2026)
Mid Penn Bancorp's Shares Outstanding came in at 25.33 million for Q2 2026, up 17.5% from 21.57 million a year earlier and up 5.8% from the prior quarter.
Analysis
Mid Penn Bancorp (MPB) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Mid Penn Bancorp's Shares Outstanding was 21.76 million, up 27.8% from FY2024.
- Shares Outstanding has increased in each of the last five years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 17.03 million in FY2024 (+4.3%), 16.32 million in FY2023 (+2.6%), 15.91 million in FY2022 (+47.3%) and 10.81 million in FY2021 (+28.0%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q4 2010.
- Year-over-year, Shares Outstanding has increased for 13 consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q1 2022 (growth of 89.6%), and the weakest in Q1 2023 (a decline of 0.4%).
- Business Quant data shows MPB's Shares Outstanding at 23.95 million (Q1 2026), 21.76 million (Q4 2025) and 23.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 3.04 Bn |
| 10 | Mid Penn Bancorp | 905.21 Mn | 888.53 Mn | - | 25.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.33 Mn |
| Mar 31, 2026 | 23.95 Mn |
| Dec 31, 2025 | 21.76 Mn |
| Sep 30, 2025 | 23.01 Mn |
| Jun 30, 2025 | 21.57 Mn |
| Mar 31, 2025 | 19.36 Mn |
| Dec 31, 2024 | 17.03 Mn |
| Sep 30, 2024 | 16.61 Mn |
| Jun 30, 2024 | 16.58 Mn |
| Mar 31, 2024 | 16.57 Mn |
| Dec 31, 2023 | 16.32 Mn |
| Sep 30, 2023 | 16.57 Mn |
| Jun 30, 2023 | 16.23 Mn |
| Mar 31, 2023 | 15.89 Mn |
| Dec 31, 2022 | 15.91 Mn |
| Sep 30, 2022 | 15.88 Mn |
| Jun 30, 2022 | 15.93 Mn |
| Mar 31, 2022 | 15.96 Mn |
| Dec 31, 2021 | 10.81 Mn |
| Sep 30, 2021 | 11.42 Mn |
API Access
Mid Penn Bancorp Shares Outstanding 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=shares-outstanding&ticker=MPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();