Greene County Bancorp (GCBC) Change in Accured Expenses (2018 - 2020)
Greene County Bancorp (GCBC) recorded Change in Accured Expenses of $10,000 in FY2025 (year ended Jun 30, 2025), compared with -$27,000 in FY2024.
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Analysis
Greene County Bancorp (GCBC) Change in Accured Expenses (2018 - 2020) Analysis & Trends
Starting with FY2013, Greene County Bancorp's Change in Accured Expenses history includes 9 fiscal years.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -71.8% (FY2020 to FY2025).
- The FY2025 figure is the highest annual Change in Accured Expenses since FY2022.
- Per Business Quant data, GCBC's Change in Accured Expenses was -$27,000 in FY2024, $5.95 million in FY2022 (+108.1%) and $2.86 million in FY2021 (-49.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Greene County Bancorp | 583.29 Mn | 563.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 2.96 Mn |
| Mar 31, 2020 | 364,000.00 |
| Dec 31, 2019 | 895,000.00 |
| Sep 30, 2019 | 1.43 Mn |
| Jun 30, 2019 | 1.82 Mn |
| Mar 31, 2019 | 936,000.00 |
| Dec 31, 2018 | 2.08 Mn |
| Sep 30, 2018 | -2.08 Mn |
API Access
Greene County Bancorp Change in Accured Expenses 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=change-in-accured-expenses&ticker=GCBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=GCBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();