Valley National Bancorp (VLY) Technology and Communications (2014 - 2022)
Valley National Bancorp (VLY) reported Technology and Communications of $3.27 million for Q1 2022, up 3.5% from $3.16 million a year earlier and up 12.7% from the prior quarter.
Valley National Bancorp (VLY) Technology and Communications (2014 - 2022) Analysis & Trends
Over the twelve months ended Mar 31, 2022, Valley National Bancorp's Technology and Communications came in at $11.52 million, down 0.8% year-over-year; for FY2021, it came in at $11.41 million, up 6.3% from FY2020.
- Technology and Communications has a five-year compound annual growth rate of 2.6% (FY2016 to FY2021).
- By year, Technology and Communications came in at $10.74 million in FY2020 (+8.6%), $9.88 million in FY2019 (-18.3%), $12.1 million in FY2018 (+22.0%) and $9.92 million in FY2017 (-1.0%).
- The Q1 2022 figure ranks as the highest quarterly Technology and Communications since Q4 2020.
- Year over year, Technology and Communications gained in five of the last eight quarters, with growth averaging 10.1%.
- The high point for year-over-year Technology and Communications in five years was Q1 2021 (growth of 38.2%); the low point was Q1 2019 (a decline of 36.9%).
- Per Business Quant data, the three quarters before Q1 2022 came in at $2.9 million (Q4 2021), $2.62 million (Q3 2021) and $2.73 million (Q2 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Technology (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.34 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 2.01 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 1.30 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 674.00 Mn |
| 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 |
|---|---|
| Mar 31, 2022 | 3.27 Mn |
| Dec 31, 2021 | 2.90 Mn |
| Sep 30, 2021 | 2.62 Mn |
| Jun 30, 2021 | 2.73 Mn |
| Mar 31, 2021 | 3.16 Mn |
| Dec 31, 2020 | 3.49 Mn |
| Sep 30, 2020 | 2.09 Mn |
| Jun 30, 2020 | 2.87 Mn |
| Mar 31, 2020 | 2.29 Mn |
| Dec 31, 2019 | 2.57 Mn |
| Sep 30, 2019 | 2.70 Mn |
| Jun 30, 2019 | 2.35 Mn |
| Mar 31, 2019 | 2.27 Mn |
| Dec 31, 2018 | 2.17 Mn |
| Sep 30, 2018 | 3.33 Mn |
| Jun 30, 2018 | 3.02 Mn |
| Mar 31, 2018 | 3.59 Mn |
| Dec 31, 2017 | 2.09 Mn |
| Sep 30, 2017 | 2.46 Mn |
| Jun 30, 2017 | 2.71 Mn |
Valley National Bancorp Technology and Communications 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=technology-and-communications&ticker=VLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "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=technology-and-communications&ticker=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();