Valley National Bancorp (VLY) Net Income (2009 - 2026)
Valley National Bancorp (VLY) recorded Net Income of $170.89 million in Q2 2026, up 28.3% from $133.17 million a year earlier and up 4.3% from the prior quarter.
Valley National Bancorp (VLY) Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Valley National Bancorp's Net Income came in at $693.56 million as of Jun 30, 2026, up 53.2% year-over-year; for FY2025, it was $597.98 million, up 57.3% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $380.27 million in FY2024 (-23.7%), $498.51 million in FY2023 (-12.4%), $568.85 million in FY2022 (+20.1%) and $473.84 million in FY2021 (+21.3%).
- Quarterly Net Income has ranged from $70.42 million in Q2 2024 to $195.4 million in Q4 2025 over the past five years.
- On a year-over-year basis, Net Income has increased for seven consecutive quarters, with growth averaging 43.6% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 89.1% in Q2 2025, against a decline of 59.7% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $163.91 million (Q1 2026), $195.4 million (Q4 2025) and $163.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 6.65 Bn |
| 10 | Valley National Bancorp | 7.03 Bn | 6.70 Bn | - | 170.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.89 Mn |
| Mar 31, 2026 | 163.91 Mn |
| Dec 31, 2025 | 195.40 Mn |
| Sep 30, 2025 | 163.36 Mn |
| Jun 30, 2025 | 133.17 Mn |
| Mar 31, 2025 | 106.06 Mn |
| Dec 31, 2024 | 115.71 Mn |
| Sep 30, 2024 | 97.86 Mn |
| Jun 30, 2024 | 70.42 Mn |
| Mar 31, 2024 | 96.28 Mn |
| Dec 31, 2023 | 71.55 Mn |
| Sep 30, 2023 | 141.35 Mn |
| Jun 30, 2023 | 139.06 Mn |
| Mar 31, 2023 | 146.55 Mn |
| Dec 31, 2022 | 177.59 Mn |
| Sep 30, 2022 | 178.12 Mn |
| Jun 30, 2022 | 96.41 Mn |
| Mar 31, 2022 | 116.73 Mn |
| Dec 31, 2021 | 115.04 Mn |
| Sep 30, 2021 | 122.58 Mn |
Valley National Bancorp Net Income 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=net-income&ticker=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();