Greene County Bancorp (GCBC) Mortgage Banking (2020 - 2022)
Greene County Bancorp (GCBC) posted Mortgage Banking of $400,000 for fiscal Q4 2022 (quarter ended Jun 30, 2022), down 92.6% from $5.4 million a year earlier but up 9.3% from the prior quarter.
Greene County Bancorp (GCBC) Mortgage Banking (2020 - 2022) Analysis & Trends
For FY2022 (ended Jun 30, 2022), Greene County Bancorp's Mortgage Banking came in at $3.2 million, down 61.0% from FY2021.
- In prior fiscal years, Greene County Bancorp's Mortgage Banking was $8.2 million in FY2021.
- Quarterly Mortgage Banking has run from a low of $16,000 in fiscal Q1 2021 to a high of $5.4 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Mortgage Banking has declined in each of the last three quarters.
- According to Business Quant data, Mortgage Banking for the three prior fiscal quarters was $366,000 (Q3 2022), $1 million (Q2 2022) and $1.5 million (Q1 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Greene County Bancorp | 570.35 Mn | 550.13 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 400,000.00 |
| Mar 31, 2022 | 366,000.00 |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | 1.50 Mn |
| Jun 30, 2021 | 5.40 Mn |
| Mar 31, 2021 | 1.30 Mn |
| Dec 31, 2020 | 1.40 Mn |
| Sep 30, 2020 | 16,000.00 |
Greene County Bancorp Mortgage Banking 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=mortgage-banking&ticker=GCBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "ticker": "GCBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=mortgage-banking&ticker=GCBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();