Valley National Bancorp (VLY) Tax Provisions (2009 - 2026)
Valley National Bancorp (VLY) posted Tax Provisions of $49.56 million for Q2 2026, up 24.1% from $39.92 million a year earlier and up 9.5% from the prior quarter.
Valley National Bancorp (VLY) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Valley National Bancorp was $167.73 million, up 123.2% year-over-year; for FY2025, it came in at $145.89 million, up 150.5% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, Valley National Bancorp's Tax Provisions was $58.25 million in FY2024 (-67.6%), $179.82 million in FY2023 (-15.1%), $211.82 million in FY2022 (+26.9%) and $166.9 million in FY2021 (+19.7%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q3 2023.
- On a year-over-year basis, Tax Provisions increased in four of the last six quarters, with growth averaging 25.1%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2025, with growth of 74.3%; the weakest was Q4 2023, with a decline of 74.2%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $45.27 million (Q1 2026), $26.3 million (Q4 2025) and $46.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1.40 Bn |
| 10 | Valley National Bancorp | 7.03 Bn | 6.70 Bn | - | 49.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.56 Mn |
| Mar 31, 2026 | 45.27 Mn |
| Dec 31, 2025 | 26.30 Mn |
| Sep 30, 2025 | 46.60 Mn |
| Jun 30, 2025 | 39.92 Mn |
| Mar 31, 2025 | 33.06 Mn |
| Dec 31, 2024 | -26.65 Mn |
| Sep 30, 2024 | 28.82 Mn |
| Jun 30, 2024 | 22.91 Mn |
| Mar 31, 2024 | 33.17 Mn |
| Dec 31, 2023 | 17.41 Mn |
| Sep 30, 2023 | 53.49 Mn |
| Jun 30, 2023 | 51.76 Mn |
| Mar 31, 2023 | 57.17 Mn |
| Dec 31, 2022 | 67.55 Mn |
| Sep 30, 2022 | 68.41 Mn |
| Jun 30, 2022 | 36.55 Mn |
| Mar 31, 2022 | 39.31 Mn |
| Dec 31, 2021 | 42.27 Mn |
| Sep 30, 2021 | 42.42 Mn |
Valley National Bancorp Tax Provisions 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=tax-provisions&ticker=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();