Valley National Bancorp (VLY) Shares Outstanding (2009 - 2026)
Valley National Bancorp's Shares Outstanding was 553.74 million in Q2 2026, down 1.2% from 560.34 million a year earlier and down 0.4% from the prior quarter.
Valley National Bancorp (VLY) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Valley National Bancorp came in at 559.64 million, up 8.5% from FY2024.
- Shares Outstanding has now increased for 16 consecutive years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 515.76 million in FY2024 (+1.6%), 507.53 million in FY2023 (+4.6%), 485.43 million in FY2022 (+19.1%) and 407.45 million in FY2021 (+0.9%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding since Q4 2024.
- Compared with a year earlier, Shares Outstanding was higher in six of the last eight quarters, with growth averaging 4.8%.
- The best year-over-year quarter for Shares Outstanding over five years was Q2 2022 (growth of 24.7%); the worst was Q2 2026 (a decline of 1.2%).
- Per Business Quant data, VLY's Shares Outstanding in the three quarters before Q2 2026 was 555.78 million (Q1 2026), 559.64 million (Q4 2025) and 560.5 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 | Valley National Bancorp | 6.97 Bn | 6.64 Bn | - | 553.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 553.74 Mn |
| Mar 31, 2026 | 555.78 Mn |
| Dec 31, 2025 | 559.64 Mn |
| Sep 30, 2025 | 560.50 Mn |
| Jun 30, 2025 | 560.34 Mn |
| Mar 31, 2025 | 559.61 Mn |
| Dec 31, 2024 | 515.76 Mn |
| Sep 30, 2024 | 509.23 Mn |
| Jun 30, 2024 | 509.14 Mn |
| Mar 31, 2024 | 508.34 Mn |
| Dec 31, 2023 | 507.53 Mn |
| Sep 30, 2023 | 507.65 Mn |
| Jun 30, 2023 | 507.69 Mn |
| Mar 31, 2023 | 507.11 Mn |
| Dec 31, 2022 | 485.43 Mn |
| Sep 30, 2022 | 506.34 Mn |
| Jun 30, 2022 | 506.30 Mn |
| Mar 31, 2022 | 421.57 Mn |
| Dec 31, 2021 | 407.45 Mn |
| Sep 30, 2021 | 406.82 Mn |
Valley National 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=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VLY", "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=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();