Hancock Whitney (HWC) Shares Outstanding (Diluted) (2009 - 2026)
Hancock Whitney's Shares Outstanding (Diluted) was 81.49 million in Q2 2026, down 5.2% from 85.94 million a year earlier and down 0.9% from the prior quarter.
Hancock Whitney (HWC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Hancock Whitney came in at 85.44 million, down 1.4% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 86.65 million in FY2024 (+0.3%), 86.42 million in FY2023 (unchanged), 86.39 million in FY2022 (-0.7%) and 87.03 million in FY2021 (+0.6%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q4 2016.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for six straight quarters, with an average decline of 1.7% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2021 (growth of 0.7%); the worst was Q2 2026 (a decline of 5.2%).
- Per Business Quant data, HWC's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 82.26 million (Q1 2026), 85.44 million (Q4 2025) and 85.45 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 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 81.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.49 Mn |
| Mar 31, 2026 | 82.26 Mn |
| Dec 31, 2025 | 85.44 Mn |
| Sep 30, 2025 | 85.45 Mn |
| Jun 30, 2025 | 85.94 Mn |
| Mar 31, 2025 | 86.46 Mn |
| Dec 31, 2024 | 86.65 Mn |
| Sep 30, 2024 | 86.56 Mn |
| Jun 30, 2024 | 86.77 Mn |
| Mar 31, 2024 | 86.73 Mn |
| Dec 31, 2023 | 86.42 Mn |
| Sep 30, 2023 | 86.44 Mn |
| Jun 30, 2023 | 86.37 Mn |
| Mar 31, 2023 | 86.28 Mn |
| Dec 31, 2022 | 86.39 Mn |
| Sep 30, 2022 | 86.02 Mn |
| Jun 30, 2022 | 86.35 Mn |
| Mar 31, 2022 | 86.94 Mn |
| Dec 31, 2021 | 87.03 Mn |
| Sep 30, 2021 | 87.01 Mn |
Hancock Whitney 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=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HWC", "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=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();