Merchants Bancorp (MBIN) Shares Outstanding (Diluted) (2016 - 2026)
Merchants Bancorp (MBIN) posted Shares Outstanding (Diluted) of 46.01 million for Q2 2026, up 0.2% from 45.93 million a year earlier and unchanged from the prior quarter.
Merchants Bancorp (MBIN) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, Merchants Bancorp's Shares Outstanding (Diluted) came in at 45.94 million, up 2.1% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three consecutive years, with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In prior years, Merchants Bancorp's Shares Outstanding (Diluted) was 45 million in FY2024 (+3.8%), 43.35 million in FY2023 (+0.1%), 43.32 million in FY2022 (unchanged) and 43.33 million in FY2021 (+0.4%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2016.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 12 quarters, with growth averaging 2.6% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2024, with growth of 5.9%; the weakest was Q1 2023, with a decline of 0.2%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 46 million (Q1 2026), 45.94 million (Q4 2025) and 45.95 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 | Merchants Bancorp | 2.25 Bn | -1.25 Bn | - | 46.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.01 Mn |
| Mar 31, 2026 | 46.00 Mn |
| Dec 31, 2025 | 45.94 Mn |
| Sep 30, 2025 | 45.95 Mn |
| Jun 30, 2025 | 45.93 Mn |
| Mar 31, 2025 | 45.91 Mn |
| Dec 31, 2024 | 45.00 Mn |
| Sep 30, 2024 | 45.91 Mn |
| Jun 30, 2024 | 44.70 Mn |
| Mar 31, 2024 | 43.47 Mn |
| Dec 31, 2023 | 43.35 Mn |
| Sep 30, 2023 | 43.35 Mn |
| Jun 30, 2023 | 43.31 Mn |
| Mar 31, 2023 | 43.29 Mn |
| Dec 31, 2022 | 43.32 Mn |
| Sep 30, 2022 | 43.26 Mn |
| Jun 30, 2022 | 43.34 Mn |
| Mar 31, 2022 | 43.36 Mn |
| Dec 31, 2021 | 43.33 Mn |
| Sep 30, 2021 | 43.31 Mn |
Merchants Bancorp 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=MBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MBIN", "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=MBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();