Mid Penn Bancorp (MPB) Return on Sales [ROS] (2010 - 2026)
Mid Penn Bancorp (MPB) recorded Return on Sales [ROS] of 851.86% in Q2 2026, down 127.68 percentage points from 979.54% a year earlier but up 153.82 percentage points from the prior quarter.
Mid Penn Bancorp (MPB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Mid Penn Bancorp's Return on Sales [ROS] came in at 1051.00% as of Jun 30, 2026, down 245.15 percentage points year-over-year; for FY2025, it came in at 1350.92%, down 88.81 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +989.77 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 1439.73% in FY2024 (+383.98 pp), 1055.76% in FY2023 (+472.34 pp), 583.41% in FY2022 (+276.45 pp) and 306.96% in FY2021 (-54.19 pp).
- Quarterly Return on Sales [ROS] has ranged from 96.97% in Q4 2021 to 1581.92% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -118.12 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 808.80 percentage points in Q4 2022, against a drop of 739.36 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 698.04% (Q1 2026), 1581.92% (Q4 2025) and 1413.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 84.05% |
| 10 | Mid Penn Bancorp | 896.35 Mn | 879.67 Mn | - | 851.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 851.86% |
| Mar 31, 2026 | 698.04% |
| Dec 31, 2025 | 1,581.92% |
| Sep 30, 2025 | 1,413.15% |
| Jun 30, 2025 | 979.54% |
| Mar 31, 2025 | 1,437.40% |
| Dec 31, 2024 | 1,404.87% |
| Sep 30, 2024 | 1,394.14% |
| Jun 30, 2024 | 1,429.80% |
| Mar 31, 2024 | 1,543.02% |
| Dec 31, 2023 | 1,361.36% |
| Sep 30, 2023 | 1,155.77% |
| Jun 30, 2023 | 802.08% |
| Mar 31, 2023 | 894.00% |
| Dec 31, 2022 | 905.77% |
| Sep 30, 2022 | 561.56% |
| Jun 30, 2022 | 491.17% |
| Mar 31, 2022 | 440.77% |
| Dec 31, 2021 | 96.97% |
| Sep 30, 2021 | 339.53% |
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();