Mid Penn Bancorp (MPB) Depreciation and Depletion (2010 - 2026)
Mid Penn Bancorp (MPB) reported Depreciation and Depletion of $1.54 million for Q2 2026, up 31.7% from $1.17 million a year earlier and up 3.3% from the prior quarter.
Mid Penn Bancorp (MPB) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mid Penn Bancorp's Depreciation and Depletion came in at $5.63 million, up 18.0% year-over-year; for FY2025, it was $4.9 million, unchanged from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $4.9 million in FY2024 (unchanged), $4.9 million in FY2023 (+14.0%), $4.3 million in FY2022 (+29.7%) and $3.32 million in FY2021 (+3.5%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q3 2010.
- Year over year, Depreciation and Depletion has now increased in each of the last three quarters, with growth averaging 7.5% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2022 (growth of 45.8%); the low point was Q2 2025 (a decline of 5.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.49 million (Q1 2026), $1.41 million (Q4 2025) and $1.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 243.13 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Mid Penn Bancorp | 896.35 Mn | 879.67 Mn | - | 1.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.54 Mn |
| Mar 31, 2026 | 1.49 Mn |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 1.23 Mn |
| Sep 30, 2024 | 1.23 Mn |
| Jun 30, 2024 | 1.24 Mn |
| Mar 31, 2024 | 1.19 Mn |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 1.19 Mn |
| Mar 31, 2023 | 1.20 Mn |
| Dec 31, 2022 | 1.24 Mn |
| Sep 30, 2022 | 1.06 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 966,000.00 |
| Dec 31, 2021 | 853,000.00 |
| Sep 30, 2021 | 45,000.00 |
Mid Penn Bancorp Depreciation and Depletion 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=depreciation-and-depletion&ticker=MPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();