Metropolitan Bank Holding (MCB) Shares Outstanding (Diluted) (2016 - 2026)
Metropolitan Bank Holding (MCB) reported Shares Outstanding (Diluted) of 12.52 million for Q2 2026, up 17.2% from 10.68 million a year earlier and up 16.4% from the prior quarter.
Metropolitan Bank Holding (MCB) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, Metropolitan Bank Holding posted Shares Outstanding (Diluted) of 10.74 million, down 4.6% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 11.26 million in FY2024 (+1.1%), 11.13 million in FY2023 (-0.6%), 11.2 million in FY2022 (+20.8%) and 9.27 million in FY2021 (+10.4%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2016.
- Year over year, Shares Outstanding (Diluted) gained in four of the last eight quarters, with growth averaging 0.1%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2022 (growth of 33.3%); the low point was Q3 2025 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 10.76 million (Q1 2026), 10.74 million (Q4 2025) and 10.59 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 | Metropolitan Bank Holding | 1.08 Bn | -610.06 Mn | - | 12.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.52 Mn |
| Mar 31, 2026 | 10.76 Mn |
| Dec 31, 2025 | 10.74 Mn |
| Sep 30, 2025 | 10.59 Mn |
| Jun 30, 2025 | 10.68 Mn |
| Mar 31, 2025 | 11.28 Mn |
| Dec 31, 2024 | 11.26 Mn |
| Sep 30, 2024 | 11.31 Mn |
| Jun 30, 2024 | 11.20 Mn |
| Mar 31, 2024 | 11.13 Mn |
| Dec 31, 2023 | 11.13 Mn |
| Sep 30, 2023 | 11.14 Mn |
| Jun 30, 2023 | 11.28 Mn |
| Mar 31, 2023 | 11.10 Mn |
| Dec 31, 2022 | 11.20 Mn |
| Sep 30, 2022 | 11.18 Mn |
| Jun 30, 2022 | 11.19 Mn |
| Mar 31, 2022 | 11.22 Mn |
| Dec 31, 2021 | 9.27 Mn |
| Sep 30, 2021 | 8.89 Mn |
Metropolitan Bank Holding 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=MCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();