MetroCity Bankshares (MCBS) Shares Outstanding (Diluted) (2018 - 2026)
MetroCity Bankshares (MCBS) reported Shares Outstanding (Diluted) of 28.95 million for Q2 2026, up 12.6% from 25.72 million a year earlier but down 0.4% from the prior quarter.
MetroCity Bankshares (MCBS) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2025, MetroCity Bankshares posted Shares Outstanding (Diluted) of 26.01 million, up 1.7% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 25.58 million in FY2024 (+0.2%), 25.52 million in FY2023 (-0.7%), 25.69 million in FY2022 (-0.4%) and 25.79 million in FY2021 (unchanged).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 25.41 million in Q1 2023 and a high of 29.05 million in Q1 2026.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last ten quarters, with growth averaging 3.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2026 (growth of 13.0%); the low point was Q1 2023 (a decline of 1.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 29.05 million (Q1 2026), 26.01 million (Q4 2025) and 25.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | MetroCity Bankshares | 986.62 Mn | -278.50 Mn | - | 28.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.95 Mn |
| Mar 31, 2026 | 29.05 Mn |
| Dec 31, 2025 | 26.01 Mn |
| Sep 30, 2025 | 25.81 Mn |
| Jun 30, 2025 | 25.72 Mn |
| Mar 31, 2025 | 25.71 Mn |
| Dec 31, 2024 | 25.58 Mn |
| Sep 30, 2024 | 25.67 Mn |
| Jun 30, 2024 | 25.57 Mn |
| Mar 31, 2024 | 25.55 Mn |
| Dec 31, 2023 | 25.52 Mn |
| Sep 30, 2023 | 25.59 Mn |
| Jun 30, 2023 | 25.48 Mn |
| Mar 31, 2023 | 25.41 Mn |
| Dec 31, 2022 | 25.69 Mn |
| Sep 30, 2022 | 25.70 Mn |
| Jun 30, 2022 | 25.73 Mn |
| Mar 31, 2022 | 25.72 Mn |
| Dec 31, 2021 | 25.79 Mn |
| Sep 30, 2021 | 25.73 Mn |
MetroCity Bankshares Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MCBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MCBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();