Valley National Bancorp (VLY) Provisions (2009 - 2026)
Valley National Bancorp (VLY) posted Provisions of $29.17 million for Q2 2026, down 25.5% from $39.13 million a year earlier but up 37.3% from the prior quarter.
Valley National Bancorp (VLY) Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provisions at Valley National Bancorp was $90.54 million, down 68.1% year-over-year; for FY2025, it was $141.47 million, down 55.0% from FY2024.
- Annual Provisions shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Valley National Bancorp's Provisions was $314.38 million in FY2024 (+519.4%), $50.76 million in FY2023 (-9.9%), $56.34 million in FY2022 (+71.3%) and $32.9 million in FY2021 (-73.7%).
- Quarterly Provisions has run from a low of $1.84 million in Q3 2022 to a high of $106.97 million in Q4 2024 over five years.
- On a year-over-year basis, Provisions has declined in each of the last five quarters, with growth averaging 89.8% over the last eight quarters.
- The strongest year-over-year quarter for Provisions in the past five years was Q2 2024, with growth of 965.1%; the weakest was Q3 2021, with a decline of 88.7%.
- According to Business Quant data, Provisions for the three prior quarters was $21.24 million (Q1 2026), $20.05 million (Q4 2025) and $20.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 914.00 Mn |
| 10 | Valley National Bancorp | 7.06 Bn | 6.73 Bn | - | 29.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.17 Mn |
| Mar 31, 2026 | 21.24 Mn |
| Dec 31, 2025 | 20.05 Mn |
| Sep 30, 2025 | 20.09 Mn |
| Jun 30, 2025 | 39.13 Mn |
| Mar 31, 2025 | 62.68 Mn |
| Dec 31, 2024 | 106.97 Mn |
| Sep 30, 2024 | 75.04 Mn |
| Jun 30, 2024 | 86.90 Mn |
| Mar 31, 2024 | 46.72 Mn |
| Dec 31, 2023 | 20.70 Mn |
| Sep 30, 2023 | 11.22 Mn |
| Jun 30, 2023 | 8.16 Mn |
| Mar 31, 2023 | 9.98 Mn |
| Dec 31, 2022 | 7.29 Mn |
| Sep 30, 2022 | 1.84 Mn |
| Jun 30, 2022 | 43.71 Mn |
| Mar 31, 2022 | 3.50 Mn |
| Dec 31, 2021 | 11.61 Mn |
| Sep 30, 2021 | 3.50 Mn |
Valley National Bancorp 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=provisions&ticker=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=provisions&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();