Valley National Bancorp (VLY) FDIC Insurance (2009 - 2026)
Valley National Bancorp's FDIC Insurance came in at $10.8 million for Q3 2026, up 29.3% from $8.36 million a year earlier but down 7.6% from the prior quarter.
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Analysis
Valley National Bancorp (VLY) FDIC Insurance (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Valley National Bancorp reported FDIC Insurance of $38.61 million, down 18.6% year-over-year; for FY2025, it came in at $39.06 million, down 36.5% from FY2024.
- FDIC Insurance carries a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- Going back by year, FDIC Insurance was $61.48 million in FY2024 (-30.3%), $88.15 million in FY2023 (+286.0%), $22.84 million in FY2022 (+61.0%) and $14.18 million in FY2021 (-25.2%).
- The five-year range for quarterly FDIC Insurance is $3.89 million (Q4 2021) to $60.63 million (Q4 2023).
- Year-over-year, FDIC Insurance increased in 1 of the last eight quarters, with an average decline of 27.3%.
- The fastest year-over-year change in FDIC Insurance over five years came in Q4 2023 (growth of 788.0%), and the weakest in Q4 2024 (a decline of 76.9%).
- Business Quant data shows VLY's FDIC Insurance at $11.69 million (Q2 2026), $10.48 million (Q1 2026) and $5.64 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (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 | - | 10.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.80 Mn |
| Jun 30, 2026 | 11.69 Mn |
| Mar 31, 2026 | 10.48 Mn |
| Dec 31, 2025 | 5.64 Mn |
| Sep 30, 2025 | 8.36 Mn |
| Jun 30, 2025 | 12.19 Mn |
| Mar 31, 2025 | 12.87 Mn |
| Dec 31, 2024 | 14.00 Mn |
| Sep 30, 2024 | 14.79 Mn |
| Jun 30, 2024 | 14.45 Mn |
| Mar 31, 2024 | 18.24 Mn |
| Dec 31, 2023 | 60.63 Mn |
| Sep 30, 2023 | 7.95 Mn |
| Jun 30, 2023 | 10.43 Mn |
| Mar 31, 2023 | 9.16 Mn |
| Dec 31, 2022 | 6.83 Mn |
| Sep 30, 2022 | 6.50 Mn |
| Jun 30, 2022 | 5.35 Mn |
| Mar 31, 2022 | 4.16 Mn |
| Dec 31, 2021 | 3.89 Mn |
API Access
Valley National Bancorp FDIC Insurance 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=fdic-insurance&ticker=VLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "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=fdic-insurance&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();