Valley National Bancorp (VLY) Other Operating Expenses (2009 - 2026)
Valley National Bancorp's Other Operating Expenses came in at $36.62 million for Q2 2026, up 11.3% from $32.91 million a year earlier and unchanged from the prior quarter.
Valley National Bancorp (VLY) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Valley National Bancorp reported Other Operating Expenses of $145.46 million, up 11.9% year-over-year; for FY2025, it was $137.49 million, up 10.7% from FY2024.
- Other Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $124.25 million in FY2024 (+3.2%), $120.42 million in FY2023 (+39.3%), $86.42 million in FY2022 (+62.0%) and $53.34 million in FY2021 (+0.3%).
- The five-year range for quarterly Other Operating Expenses is $14.47 million (Q3 2021) to $40.96 million (Q4 2025).
- Year-over-year, Other Operating Expenses has increased for six consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2022 (growth of 96.5%), and the weakest in Q3 2021 (a decline of 20.7%).
- Business Quant data shows VLY's Other Operating Expenses at $36.6 million (Q1 2026), $40.96 million (Q4 2025) and $31.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Valley National Bancorp | 6.97 Bn | 6.64 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.62 Mn |
| Mar 31, 2026 | 36.60 Mn |
| Dec 31, 2025 | 40.96 Mn |
| Sep 30, 2025 | 31.28 Mn |
| Jun 30, 2025 | 32.91 Mn |
| Mar 31, 2025 | 32.34 Mn |
| Dec 31, 2024 | 33.50 Mn |
| Sep 30, 2024 | 31.25 Mn |
| Jun 30, 2024 | 30.48 Mn |
| Mar 31, 2024 | 29.02 Mn |
| Dec 31, 2023 | 36.60 Mn |
| Sep 30, 2023 | 28.86 Mn |
| Jun 30, 2023 | 28.29 Mn |
| Mar 31, 2023 | 26.68 Mn |
| Dec 31, 2022 | 26.09 Mn |
| Sep 30, 2022 | 22.68 Mn |
| Jun 30, 2022 | 22.28 Mn |
| Mar 31, 2022 | 15.36 Mn |
| Dec 31, 2021 | 15.13 Mn |
| Sep 30, 2021 | 14.47 Mn |
Valley National Bancorp Other Operating Expenses 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=other-operating-expenses&ticker=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();