MetroCity Bankshares (MCBS) Return on Sales [ROS] (2018 - 2026)
MetroCity Bankshares (MCBS) reported Return on Sales [ROS] of 114.46% for Q2 2026, down 5.67 percentage points from 120.12% a year earlier but up 2.90 percentage points from the prior quarter.
MetroCity Bankshares (MCBS) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, MetroCity Bankshares' Return on Sales [ROS] came in at 113.63%, down 8.93 percentage points year-over-year; for FY2025, it came in at 117.63%, down 11.31 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +53.07 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 128.94% in FY2024 (-7.52 pp), 136.46% in FY2023 (+50.19 pp), 86.28% in FY2022 (+23.03 pp) and 63.25% in FY2021 (-1.31 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 61.41% in Q3 2021 and a high of 149.96% in Q3 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last nine quarters, with an average year-over-year change of -11.88 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 68.23 percentage points); the low point was Q3 2024 (a drop of 24.76 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 111.56% (Q1 2026), 108.46% (Q4 2025) and 121.28% (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 | MetroCity Bankshares | 1.04 Bn | -386.53 Mn | - | 112.93% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 112.93% |
| Jun 30, 2026 | 114.46% |
| Mar 31, 2026 | 111.56% |
| Dec 31, 2025 | 108.46% |
| Sep 30, 2025 | 121.28% |
| Jun 30, 2025 | 120.12% |
| Mar 31, 2025 | 122.30% |
| Dec 31, 2024 | 122.68% |
| Sep 30, 2024 | 125.21% |
| Jun 30, 2024 | 128.93% |
| Mar 31, 2024 | 139.97% |
| Dec 31, 2023 | 131.95% |
| Sep 30, 2023 | 149.96% |
| Jun 30, 2023 | 138.65% |
| Mar 31, 2023 | 127.57% |
| Dec 31, 2022 | 116.42% |
| Sep 30, 2022 | 92.90% |
| Jun 30, 2022 | 70.42% |
| Mar 31, 2022 | 71.33% |
| Dec 31, 2021 | 68.36% |
MetroCity Bankshares 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=MCBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MCBS", "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=MCBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();