Valley National Bancorp (VLY) Wages, Salaries and Other (2009 - 2026)
Valley National Bancorp (VLY) reported Wages, Salaries and Other of $150.43 million for Q2 2026, up 3.4% from $145.42 million a year earlier but down 3.4% from the prior quarter.
Valley National Bancorp (VLY) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Valley National Bancorp's Wages, Salaries and Other came in at $597.63 million, up 6.0% year-over-year; for FY2025, it was $579.52 million, up 3.7% from FY2024.
- Wages, Salaries and Other has a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $558.6 million in FY2024 (-0.9%), $563.59 million in FY2023 (+7.0%), $526.74 million in FY2022 (+40.1%) and $375.87 million in FY2021 (+12.8%).
- Five-year quarterly Wages, Salaries and Other spans a low of $93.99 million in Q3 2021 and a high of $155.72 million in Q1 2026.
- Year over year, Wages, Salaries and Other has now increased in each of the last eight quarters, with growth averaging 4.1% over the last eight quarters.
- The high point for year-over-year Wages, Salaries and Other in five years was Q2 2022 (growth of 69.9%); the low point was Q2 2024 (a decline of 5.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $155.72 million (Q1 2026), $144.66 million (Q4 2025) and $146.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | Valley National Bancorp | 7.08 Bn | 6.75 Bn | - | 150.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.43 Mn |
| Mar 31, 2026 | 155.72 Mn |
| Dec 31, 2025 | 144.66 Mn |
| Sep 30, 2025 | 146.82 Mn |
| Jun 30, 2025 | 145.42 Mn |
| Mar 31, 2025 | 142.62 Mn |
| Dec 31, 2024 | 137.12 Mn |
| Sep 30, 2024 | 138.83 Mn |
| Jun 30, 2024 | 140.82 Mn |
| Mar 31, 2024 | 141.83 Mn |
| Dec 31, 2023 | 131.72 Mn |
| Sep 30, 2023 | 137.29 Mn |
| Jun 30, 2023 | 149.59 Mn |
| Mar 31, 2023 | 144.99 Mn |
| Dec 31, 2022 | 129.63 Mn |
| Sep 30, 2022 | 134.57 Mn |
| Jun 30, 2022 | 154.80 Mn |
| Mar 31, 2022 | 107.73 Mn |
| Dec 31, 2021 | 102.68 Mn |
| Sep 30, 2021 | 93.99 Mn |
Valley National Bancorp Wages, Salaries and Other 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=wages-salaries-and-other&ticker=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();