Metropolitan Bank Holding (MCB) Return on Sales [ROS] (2016 - 2026)
Metropolitan Bank Holding (MCB) posted Return on Sales [ROS] of 3030.67% for Q2 2026, down 41.33 percentage points from 3071.99% a year earlier and down 549.75 percentage points from the prior quarter.
Metropolitan Bank Holding (MCB) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Metropolitan Bank Holding was 3275.88%, up 1429.51 percentage points year-over-year; for FY2025, it was 2836.80%, up 1531.76 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +2280.11 percentage points (FY2020 to FY2025).
- In prior years, Metropolitan Bank Holding's Return on Sales [ROS] was 1305.05% in FY2024 (+374.32 pp), 930.73% in FY2023 (+452.24 pp), 478.49% in FY2022 (+21.24 pp) and 457.25% in FY2021 (-99.44 pp).
- Quarterly Return on Sales [ROS] has run from a low of 282.95% in Q4 2022 to a high of 3899.79% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +1074.66 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 2038.68 percentage points; the weakest was Q4 2022, with a drop of 174.52 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 3580.41% (Q1 2026), 3899.79% (Q4 2025) and 2610.50% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Metropolitan Bank Holding | 1.09 Bn | -603.99 Mn | - | 3,030.67% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,030.67% |
| Mar 31, 2026 | 3,580.41% |
| Dec 31, 2025 | 3,899.79% |
| Sep 30, 2025 | 2,610.50% |
| Jun 30, 2025 | 3,071.99% |
| Mar 31, 2025 | 2,108.84% |
| Dec 31, 2024 | 1,861.11% |
| Sep 30, 2024 | 1,170.65% |
| Jun 30, 2024 | 1,270.62% |
| Mar 31, 2024 | 1,094.51% |
| Dec 31, 2023 | 1,053.66% |
| Sep 30, 2023 | 1,105.29% |
| Jun 30, 2023 | 761.74% |
| Mar 31, 2023 | 842.92% |
| Dec 31, 2022 | 282.95% |
| Sep 30, 2022 | 722.38% |
| Jun 30, 2022 | 530.15% |
| Mar 31, 2022 | 403.27% |
| Dec 31, 2021 | 457.47% |
| Sep 30, 2021 | 481.95% |
Metropolitan Bank Holding 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=MCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MCB", "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=MCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();