Mid Penn Bancorp (MPB) Wages, Salaries and Other (2010 - 2026)
Mid Penn Bancorp (MPB) recorded Wages, Salaries and Other of $26.95 million in Q2 2026, up 29.8% from $20.75 million a year earlier and up 15.4% from the prior quarter.
Powered by 
Analysis
Mid Penn Bancorp (MPB) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
On a TTM basis, Mid Penn Bancorp's Wages, Salaries and Other came in at $91.26 million as of Jun 30, 2026, up 30.1% year-over-year; for FY2025, it was $78.03 million, up 21.7% from FY2024.
- Annual Wages, Salaries and Other has increased for 16 straight years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- Across earlier years, Wages, Salaries and Other came in at $64.1 million in FY2024 (+8.0%), $59.35 million in FY2023 (+12.8%), $52.6 million in FY2022 (+26.1%) and $41.71 million in FY2021 (+10.5%).
- The Q2 2026 figure is the highest quarterly Wages, Salaries and Other in data going back to Q2 2010.
- On a year-over-year basis, Wages, Salaries and Other has increased for 47 consecutive quarters, with growth averaging 22.1% over the last eight quarters.
- The year-over-year growth in Wages, Salaries and Other has ranged between 0.6% (Q3 2021) and 43.1% (Q1 2026) over the last five years.
- Per Business Quant, the preceding three quarters came in at $23.35 million (Q1 2026), $20.03 million (Q4 2025) and $20.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | Mid Penn Bancorp | 921.67 Mn | 904.99 Mn | - | 26.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.95 Mn |
| Mar 31, 2026 | 23.35 Mn |
| Dec 31, 2025 | 20.03 Mn |
| Sep 30, 2025 | 20.94 Mn |
| Jun 30, 2025 | 20.75 Mn |
| Mar 31, 2025 | 16.31 Mn |
| Dec 31, 2024 | 16.95 Mn |
| Sep 30, 2024 | 16.16 Mn |
| Jun 30, 2024 | 15.53 Mn |
| Mar 31, 2024 | 15.46 Mn |
| Dec 31, 2023 | 15.22 Mn |
| Sep 30, 2023 | 15.26 Mn |
| Jun 30, 2023 | 15.03 Mn |
| Mar 31, 2023 | 13.84 Mn |
| Dec 31, 2022 | 13.43 Mn |
| Sep 30, 2022 | 13.58 Mn |
| Jun 30, 2022 | 12.34 Mn |
| Mar 31, 2022 | 13.24 Mn |
| Dec 31, 2021 | 11.84 Mn |
| Sep 30, 2021 | 10.34 Mn |
API Access
Mid Penn Bancorp Wages, Salaries and Other 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=wages-salaries-and-other&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();