Valley National Bancorp (VLY) Rent Expense (2009 - 2026)
Valley National Bancorp (VLY) reported Rent Expense of $27.18 million for Q2 2026, up 6.7% from $25.48 million a year earlier and unchanged from the prior quarter.
Valley National Bancorp (VLY) Rent Expense (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Valley National Bancorp's Rent Expense came in at $105.28 million, up 0.3% year-over-year; for FY2025, it was $102.29 million, up 0.2% from FY2024.
- Rent Expense has increased for four consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By year, Rent Expense came in at $102.12 million in FY2024 (+0.6%), $101.47 million in FY2023 (+7.5%), $94.35 million in FY2022 (+18.9%) and $79.36 million in FY2021 (-2.7%).
- Five-year quarterly Rent Expense spans a low of $19.94 million in Q3 2021 and a high of $27.59 million in Q4 2023.
- Year over year, Rent Expense gained in five of the last eight quarters, with growth averaging 2.4%.
- The high point for year-over-year Rent Expense in five years was Q3 2022 (growth of 32.8%); the low point was Q3 2021 (a decline of 35.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.18 million (Q1 2026), $26.06 million (Q4 2025) and $24.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Valley National Bancorp | 7.06 Bn | 6.73 Bn | - | 27.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.18 Mn |
| Mar 31, 2026 | 27.18 Mn |
| Dec 31, 2025 | 26.06 Mn |
| Sep 30, 2025 | 24.87 Mn |
| Jun 30, 2025 | 25.48 Mn |
| Mar 31, 2025 | 25.89 Mn |
| Dec 31, 2024 | 26.58 Mn |
| Sep 30, 2024 | 26.97 Mn |
| Jun 30, 2024 | 24.25 Mn |
| Mar 31, 2024 | 24.32 Mn |
| Dec 31, 2023 | 27.59 Mn |
| Sep 30, 2023 | 24.68 Mn |
| Jun 30, 2023 | 25.95 Mn |
| Mar 31, 2023 | 23.26 Mn |
| Dec 31, 2022 | 23.45 Mn |
| Sep 30, 2022 | 26.49 Mn |
| Jun 30, 2022 | 22.43 Mn |
| Mar 31, 2022 | 21.99 Mn |
| Dec 31, 2021 | 20.18 Mn |
| Sep 30, 2021 | 19.94 Mn |
Valley National Bancorp Rent Expense 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=rent-expense&ticker=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();