Mid Penn Bancorp (MPB) Return on Sales [ROS] (2009 - 2026)
Mid Penn Bancorp (MPB) recorded Return on Sales [ROS] of 77.75% in Q2 2026, up 11.33 percentage points from 66.42% a year earlier and up 16.10 percentage points from the prior quarter.
Mid Penn Bancorp (MPB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Mid Penn Bancorp's Return on Sales [ROS] came in at 80.84% as of Jun 30, 2026, down 10.96 percentage points year-over-year; for FY2025, it came in at 87.21%, down 18.80 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +39.09 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 106.02% in FY2024 (+25.73 pp), 80.28% in FY2023 (+30.65 pp), 49.63% in FY2022 (+10.58 pp) and 39.05% in FY2021 (-9.07 pp).
- Quarterly Return on Sales [ROS] has ranged from 11.14% in Q4 2021 to 109.82% in Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -10.20 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 49.50 percentage points in Q4 2022, against a drop of 39.58 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 61.64% (Q1 2026), 92.55% (Q4 2025) and 93.03% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Mid Penn Bancorp | 881.41 Mn | 364.13 Mn | - | 81.14% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 81.14% |
| Jun 30, 2026 | 77.75% |
| Mar 31, 2026 | 61.64% |
| Dec 31, 2025 | 92.55% |
| Sep 30, 2025 | 93.03% |
| Jun 30, 2025 | 66.42% |
| Mar 31, 2025 | 96.42% |
| Dec 31, 2024 | 101.66% |
| Sep 30, 2024 | 107.05% |
| Jun 30, 2024 | 106.00% |
| Mar 31, 2024 | 109.82% |
| Dec 31, 2023 | 103.31% |
| Sep 30, 2023 | 87.44% |
| Jun 30, 2023 | 60.28% |
| Mar 31, 2023 | 69.33% |
| Dec 31, 2022 | 60.64% |
| Sep 30, 2022 | 50.04% |
| Jun 30, 2022 | 43.80% |
| Mar 31, 2022 | 42.67% |
| Dec 31, 2021 | 11.14% |
Mid Penn Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();