Home Bancshares (HOMB) Shares Outstanding (Diluted) (2010 - 2026)
Home Bancshares (HOMB) reported Shares Outstanding (Diluted) of 201.42 million for Q2 2026, up 1.8% from 197.77 million a year earlier and up 2.4% from the prior quarter.
Home Bancshares (HOMB) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Home Bancshares posted Shares Outstanding (Diluted) of 197.65 million, down 1.2% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 200.07 million in FY2024 (-1.3%), 202.77 million in FY2023 (+4.0%), 195.02 million in FY2022 (+18.3%) and 164.86 million in FY2021 (-0.3%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) since Q4 2023.
- Year over year, Shares Outstanding (Diluted) gained in 1 of the last eight quarters, with an average decline of 0.9%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2022 (growth of 24.7%); the low point was Q3 2024 (a decline of 1.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 196.73 million (Q1 2026), 197.65 million (Q4 2025) and 197.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 3.07 Bn |
| 10 | Home Bancshares | 5.73 Bn | 2.09 Bn | - | 201.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201.42 Mn |
| Mar 31, 2026 | 196.73 Mn |
| Dec 31, 2025 | 197.65 Mn |
| Sep 30, 2025 | 197.29 Mn |
| Jun 30, 2025 | 197.77 Mn |
| Mar 31, 2025 | 198.85 Mn |
| Dec 31, 2024 | 200.07 Mn |
| Sep 30, 2024 | 199.46 Mn |
| Jun 30, 2024 | 200.47 Mn |
| Mar 31, 2024 | 201.39 Mn |
| Dec 31, 2023 | 202.77 Mn |
| Sep 30, 2023 | 202.65 Mn |
| Jun 30, 2023 | 202.92 Mn |
| Mar 31, 2023 | 203.63 Mn |
| Dec 31, 2022 | 195.02 Mn |
| Sep 30, 2022 | 205.14 Mn |
| Jun 30, 2022 | 206.02 Mn |
| Mar 31, 2022 | 164.20 Mn |
| Dec 31, 2021 | 164.86 Mn |
| Sep 30, 2021 | 164.60 Mn |
Home Bancshares 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=HOMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HOMB", "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=HOMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();