Merchants Bancorp (MBIN) Shares Outstanding (2016 - 2026)
Merchants Bancorp (MBIN) recorded Shares Outstanding of 45.94 million in Q2 2026, up 0.1% from 45.88 million a year earlier and unchanged from the prior quarter.
Merchants Bancorp (MBIN) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Merchants Bancorp reported Shares Outstanding of 45.87 million, up 2.3% from FY2024.
- Annual Shares Outstanding has increased for three straight years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 44.86 million in FY2024 (+3.8%), 43.22 million in FY2023 (+0.1%), 43.16 million in FY2022 (unchanged) and 43.17 million in FY2021 (+0.1%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q1 2016.
- On a year-over-year basis, Shares Outstanding has increased for 13 consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 5.8% in Q3 2024, against a decline of 0.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 45.93 million (Q1 2026), 45.87 million (Q4 2025) and 45.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 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 | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Merchants Bancorp | 2.25 Bn | -1.25 Bn | - | 45.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.94 Mn |
| Mar 31, 2026 | 45.93 Mn |
| Dec 31, 2025 | 45.87 Mn |
| Sep 30, 2025 | 45.89 Mn |
| Jun 30, 2025 | 45.88 Mn |
| Mar 31, 2025 | 45.82 Mn |
| Dec 31, 2024 | 44.86 Mn |
| Sep 30, 2024 | 45.76 Mn |
| Jun 30, 2024 | 44.57 Mn |
| Mar 31, 2024 | 43.31 Mn |
| Dec 31, 2023 | 43.22 Mn |
| Sep 30, 2023 | 43.24 Mn |
| Jun 30, 2023 | 43.24 Mn |
| Mar 31, 2023 | 43.18 Mn |
| Dec 31, 2022 | 43.16 Mn |
| Sep 30, 2022 | 43.11 Mn |
| Jun 30, 2022 | 43.21 Mn |
| Mar 31, 2022 | 43.19 Mn |
| Dec 31, 2021 | 43.17 Mn |
| Sep 30, 2021 | 43.18 Mn |
Merchants Bancorp 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=shares-outstanding&ticker=MBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=MBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();