Mid Penn Bancorp (MPB) EBITDA Margin (2010 - 2026)
Mid Penn Bancorp (MPB) reported EBITDA Margin of 900.42% for Q2 2026, down 131.11 percentage points from 1031.53% a year earlier but up 153.61 percentage points from the prior quarter.
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Analysis
Mid Penn Bancorp (MPB) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mid Penn Bancorp's EBITDA Margin came in at 1103.21%, down 242.75 percentage points year-over-year; for FY2025, it came in at 1405.40%, down 85.00 percentage points from FY2024.
- EBITDA Margin has a five-year change of +1011.70 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at 1490.40% in FY2024 (+382.03 pp), 1108.36% in FY2023 (+481.69 pp), 626.68% in FY2022 (+292.55 pp) and 334.12% in FY2021 (-59.57 pp).
- Five-year quarterly EBITDA Margin spans a low of 127.03% in Q4 2021 and a high of 1646.35% in Q4 2025.
- Year over year, EBITDA Margin gained in four of the last eight quarters, with an average year-over-year change of -117.98 percentage points.
- The high point for year-over-year EBITDA Margin in five years was Q4 2022 (a gain of 836.13 percentage points); the low point was Q1 2026 (a drop of 739.32 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 746.81% (Q1 2026), 1646.35% (Q4 2025) and 1465.52% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 92.35% |
| 10 | Mid Penn Bancorp | 912.56 Mn | 895.87 Mn | - | 900.42% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 900.42% |
| Mar 31, 2026 | 746.81% |
| Dec 31, 2025 | 1,646.35% |
| Sep 30, 2025 | 1,465.52% |
| Jun 30, 2025 | 1,031.53% |
| Mar 31, 2025 | 1,486.14% |
| Dec 31, 2024 | 1,454.55% |
| Sep 30, 2024 | 1,442.76% |
| Jun 30, 2024 | 1,480.76% |
| Mar 31, 2024 | 1,596.84% |
| Dec 31, 2023 | 1,415.99% |
| Sep 30, 2023 | 1,209.35% |
| Jun 30, 2023 | 854.84% |
| Mar 31, 2023 | 943.37% |
| Dec 31, 2022 | 963.16% |
| Sep 30, 2022 | 600.57% |
| Jun 30, 2022 | 533.87% |
| Mar 31, 2022 | 477.98% |
| Dec 31, 2021 | 127.03% |
| Sep 30, 2021 | 346.21% |
API Access
Mid Penn Bancorp EBITDA Margin 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=ebitda-margin&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();