Mid Penn Bancorp (MPB) Cash from Operations (2010 - 2026)
Mid Penn Bancorp's Cash from Operations came in at $32.38 million for Q2 2026, down 5.4% from $34.23 million a year earlier but up 124.0% from the prior quarter.
Mid Penn Bancorp (MPB) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mid Penn Bancorp reported Cash from Operations of $80.12 million, up 18.4% year-over-year; for FY2025, it was $80.04 million, up 55.7% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 41.6% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $51.39 million in FY2024 (-1.8%), $52.34 million in FY2023 (-12.8%), $59.99 million in FY2022 (-9.0%) and $65.9 million in FY2021 (+368.4%).
- The five-year range for quarterly Cash from Operations is $4.1 million (Q4 2024) to $34.23 million (Q2 2025).
- Year-over-year, Cash from Operations increased in six of the last eight quarters, with growth averaging 37.4%.
- The fastest year-over-year change in Cash from Operations over five years came in Q4 2025 (growth of 223.7%), and the weakest in Q4 2024 (a decline of 72.0%).
- Business Quant data shows MPB's Cash from Operations at $14.46 million (Q1 2026), $13.26 million (Q4 2025) and $20.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 6.78 Bn |
| 10 | Mid Penn Bancorp | 912.56 Mn | 895.87 Mn | - | 32.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.38 Mn |
| Mar 31, 2026 | 14.46 Mn |
| Dec 31, 2025 | 13.26 Mn |
| Sep 30, 2025 | 20.03 Mn |
| Jun 30, 2025 | 34.23 Mn |
| Mar 31, 2025 | 12.52 Mn |
| Dec 31, 2024 | 4.10 Mn |
| Sep 30, 2024 | 16.85 Mn |
| Jun 30, 2024 | 18.03 Mn |
| Mar 31, 2024 | 12.41 Mn |
| Dec 31, 2023 | 14.65 Mn |
| Sep 30, 2023 | 13.19 Mn |
| Jun 30, 2023 | 11.32 Mn |
| Mar 31, 2023 | 13.18 Mn |
| Dec 31, 2022 | 18.39 Mn |
| Sep 30, 2022 | 17.83 Mn |
| Jun 30, 2022 | 12.86 Mn |
| Mar 31, 2022 | 10.91 Mn |
| Dec 31, 2021 | 24.34 Mn |
| Sep 30, 2021 | 13.56 Mn |
Mid Penn Bancorp Cash from Operations 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=cash-from-operations&ticker=MPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();