Valley National Bancorp (VLY) Amortization - Intangibles (2009 - 2026)
Valley National Bancorp's Amortization - Intangibles was $6.32 million in Q3 2026, down 16.2% from $7.54 million a year earlier but up 0.3% from the prior quarter.
Valley National Bancorp (VLY) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Valley National Bancorp's Amortization - Intangibles was $26.97 million through Sep 30, 2026, down 13.9% year-over-year; for FY2025, it came in at $30.43 million, down 13.2% from FY2024.
- Amortization - Intangibles shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $35.05 million in FY2024 (-11.9%), $39.77 million in FY2023 (+5.1%), $37.83 million in FY2022 (+73.3%) and $21.83 million in FY2021 (-11.4%).
- Quarterly Amortization - Intangibles has moved between $4.44 million (Q1 2022) and $11.4 million (Q2 2022) over five years.
- Compared with a year earlier, Amortization - Intangibles has declined for 14 straight quarters, with an average decline of 13.9% over the last eight quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was Q1 2023 (growth of 137.1%); the worst was Q1 2022 (a decline of 26.1%).
- Per Business Quant data, VLY's Amortization - Intangibles in the three quarters before Q3 2026 was $6.3 million (Q2 2026), $6.92 million (Q1 2026) and $7.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Valley National Bancorp | 7.86 Bn | 7.51 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.32 Mn |
| Jun 30, 2026 | 6.30 Mn |
| Mar 31, 2026 | 6.92 Mn |
| Dec 31, 2025 | 7.43 Mn |
| Sep 30, 2025 | 7.54 Mn |
| Jun 30, 2025 | 7.43 Mn |
| Mar 31, 2025 | 8.02 Mn |
| Dec 31, 2024 | 8.35 Mn |
| Sep 30, 2024 | 8.70 Mn |
| Jun 30, 2024 | 8.60 Mn |
| Mar 31, 2024 | 9.41 Mn |
| Dec 31, 2023 | 9.67 Mn |
| Sep 30, 2023 | 9.74 Mn |
| Jun 30, 2023 | 9.81 Mn |
| Mar 31, 2023 | 10.52 Mn |
| Dec 31, 2022 | 10.90 Mn |
| Sep 30, 2022 | 11.10 Mn |
| Jun 30, 2022 | 11.40 Mn |
| Mar 31, 2022 | 4.44 Mn |
| Dec 31, 2021 | 5.03 Mn |
Valley National Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();