Kearny Financial (KRNY) Technology and Communications (2017 - 2019)
Kearny Financial (KRNY) posted Technology and Communications of $3.05 million for fiscal Q3 2019 (quarter ended Mar 31, 2019), up 31.4% from $2.32 million a year earlier but down 9.6% from the prior quarter.
Kearny Financial (KRNY) Technology and Communications (2017 - 2019) Analysis & Trends
For the trailing twelve months through Mar 31, 2019, Technology and Communications at Kearny Financial was $11.68 million.
- Quarterly Technology and Communications has run from a low of $2.19 million in fiscal Q1 2018 to a high of $3.38 million in fiscal Q2 2019 over five years.
- On a year-over-year basis, Technology and Communications has increased in each of the last three quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Technology (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1.92 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | 1.30 Bn |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 284.73 Mn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | 674.00 Mn |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | - |
| 10 | Kearny Financial | 573.02 Mn | 573.02 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 3.05 Mn |
| Dec 31, 2018 | 3.38 Mn |
| Sep 30, 2018 | 2.93 Mn |
| Mar 31, 2018 | 2.32 Mn |
| Dec 31, 2017 | 2.19 Mn |
| Sep 30, 2017 | 2.19 Mn |
Kearny Financial 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=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "ticker": "KRNY", "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=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();