Mechanics Bancorp (MCHB) Return on Sales [ROS] (2011 - 2026)
Mechanics Bancorp (MCHB) reported Return on Sales [ROS] of 1028.74% for Q2 2026, up 117.38 percentage points from 911.36% a year earlier and up 70.29 percentage points from the prior quarter.
Mechanics Bancorp (MCHB) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mechanics Bancorp's Return on Sales [ROS] came in at 1123.63%, up 192.46 percentage points year-over-year; for FY2025, it came in at 1097.16%, up 573.03 percentage points from FY2024.
- Return on Sales [ROS] has increased for five consecutive years, with a five-year change of +1056.59 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 524.13% in FY2024 (+428.17 pp), 95.95% in FY2023 (+41.32 pp), 54.63% in FY2022 (+7.40 pp) and 47.24% in FY2021 (+6.67 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 38.31% in Q2 2023 and a high of 1618.72% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +486.37 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 820.84 percentage points); the low point was Q3 2025 (a drop of 108.69 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 958.45% (Q1 2026), 1618.72% (Q4 2025) and 840.13% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Mechanics Bancorp | 3.30 Bn | -406.75 Mn | - | 1,028.74% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,028.74% |
| Mar 31, 2026 | 958.45% |
| Dec 31, 2025 | 1,618.72% |
| Sep 30, 2025 | 840.13% |
| Jun 30, 2025 | 911.36% |
| Mar 31, 2025 | 926.75% |
| Dec 31, 2024 | 936.56% |
| Sep 30, 2024 | 948.82% |
| Jun 30, 2024 | 147.73% |
| Mar 31, 2024 | 143.81% |
| Dec 31, 2023 | 135.55% |
| Sep 30, 2023 | 127.98% |
| Jun 30, 2023 | 38.31% |
| Mar 31, 2023 | 90.92% |
| Dec 31, 2022 | 75.92% |
| Sep 30, 2022 | 61.35% |
| Jun 30, 2022 | 41.15% |
| Mar 31, 2022 | 41.53% |
| Dec 31, 2021 | 48.56% |
| Sep 30, 2021 | 47.37% |
Mechanics 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=MCHB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MCHB", "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=MCHB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();