MetroCity Bankshares (MCBS) Weighted Average Shares Outstanding (2018 - 2026)
MetroCity Bankshares (MCBS) posted Weighted Average Shares Outstanding of 28.7 million for Q2 2026, up 12.8% from 25.45 million a year earlier but down 0.3% from the prior quarter.
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Analysis
MetroCity Bankshares (MCBS) Weighted Average Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, MetroCity Bankshares' Weighted Average Shares Outstanding came in at 25.73 million, up 1.8% from FY2024.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, MetroCity Bankshares' Weighted Average Shares Outstanding was 25.28 million in FY2024 (+0.3%), 25.21 million in FY2023 (-0.8%), 25.41 million in FY2022 (-0.6%) and 25.57 million in FY2021 (-0.2%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 25.14 million in Q1 2023 to a high of 28.78 million in Q1 2026 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last ten quarters, with growth averaging 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q1 2026, with growth of 13.3%; the weakest was Q1 2023, with a decline of 1.3%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 28.78 million (Q1 2026), 25.73 million (Q4 2025) and 25.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | MetroCity Bankshares | 1.04 Bn | -386.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.78 Mn |
| Jun 30, 2026 | 28.70 Mn |
| Mar 31, 2026 | 28.78 Mn |
| Dec 31, 2025 | 25.73 Mn |
| Sep 30, 2025 | 25.54 Mn |
| Jun 30, 2025 | 25.45 Mn |
| Mar 31, 2025 | 25.40 Mn |
| Dec 31, 2024 | 25.28 Mn |
| Sep 30, 2024 | 25.33 Mn |
| Jun 30, 2024 | 25.25 Mn |
| Mar 31, 2024 | 25.21 Mn |
| Dec 31, 2023 | 25.21 Mn |
| Sep 30, 2023 | 25.27 Mn |
| Jun 30, 2023 | 25.19 Mn |
| Mar 31, 2023 | 25.14 Mn |
| Dec 31, 2022 | 25.41 Mn |
| Sep 30, 2022 | 25.43 Mn |
| Jun 30, 2022 | 25.46 Mn |
| Mar 31, 2022 | 25.47 Mn |
| Dec 31, 2021 | 25.57 Mn |
API Access
MetroCity Bankshares Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=MCBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=MCBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();