MetroCity Bankshares (MCBS) Return on Sales [ROS] (2018 - 2026)
MetroCity Bankshares (MCBS) reported Return on Sales [ROS] of 2388.73% for Q2 2026, up 245.67 percentage points from 2143.06% a year earlier and up 53.53 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 2019.19%, up 23.26 percentage points year-over-year; for FY2025, it came in at 1893.60%, down 147.44 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +1282.33 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 2041.04% in FY2024 (-115.00 pp), 2156.04% in FY2023 (+1141.82 pp), 1014.22% in FY2022 (+473.77 pp) and 540.45% in FY2021 (-70.82 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q1 2023.
- 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 +12.81 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2023 (a gain of 2086.77 percentage points); the low point was Q1 2024 (a drop of 902.08 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 2335.20% (Q1 2026), 1882.62% (Q4 2025) and 1573.28% (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 | MetroCity Bankshares | 1.01 Bn | -251.16 Mn | - | 2,388.73% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,388.73% |
| Mar 31, 2026 | 2,335.20% |
| Dec 31, 2025 | 1,882.62% |
| Sep 30, 2025 | 1,573.28% |
| Jun 30, 2025 | 2,143.06% |
| Mar 31, 2025 | 2,101.19% |
| Dec 31, 2024 | 1,878.28% |
| Sep 30, 2024 | 1,889.04% |
| Jun 30, 2024 | 2,221.52% |
| Mar 31, 2024 | 2,219.77% |
| Dec 31, 2023 | 1,593.03% |
| Sep 30, 2023 | 2,043.04% |
| Jun 30, 2023 | 2,377.17% |
| Mar 31, 2023 | 3,121.84% |
| Dec 31, 2022 | 2,000.46% |
| Sep 30, 2022 | 1,017.68% |
| Jun 30, 2022 | 589.65% |
| Mar 31, 2022 | 1,035.08% |
| Dec 31, 2021 | 726.52% |
| Sep 30, 2021 | 504.38% |
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();