Greene County Bancorp (GCBC) Accumulated Expenses (2014 - 2026)
Greene County Bancorp's Accumulated Expenses was $37.05 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.4% from $33.88 million a year earlier and up 10.1% from the prior quarter.
Powered by 
Analysis
Greene County Bancorp (GCBC) Accumulated Expenses (2014 - 2026) Analysis & Trends
From fiscal Q4 2014 onward, Greene County Bancorp has reported Accumulated Expenses for 46 quarters.
- Accumulated Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $33.88 million in FY2025 (+7.8%), $31.43 million in FY2024 (+10.9%), $28.34 million in FY2023 (-0.2%) and $28.41 million in FY2022 (+23.5%).
- The fiscal Q4 2026 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2014.
- Compared with a year earlier, Accumulated Expenses has increased for 12 straight quarters, with growth averaging 8.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2022 (growth of 23.5%); the worst was fiscal Q4 2023 (a decline of 0.2%).
- Per Business Quant data, GCBC's Accumulated Expenses in the three fiscal quarters before Q4 2026 was $33.67 million (Q3 2026), $33.57 million (Q2 2026) and $33.09 million (Q1 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.05 Mn |
| Mar 31, 2026 | 33.67 Mn |
| Dec 31, 2025 | 33.57 Mn |
| Sep 30, 2025 | 33.09 Mn |
| Jun 30, 2025 | 33.88 Mn |
| Mar 31, 2025 | 30.18 Mn |
| Dec 31, 2024 | 29.21 Mn |
| Sep 30, 2024 | 29.94 Mn |
| Jun 30, 2024 | 31.43 Mn |
| Mar 31, 2024 | 29.43 Mn |
| Dec 31, 2023 | 27.59 Mn |
| Sep 30, 2023 | 29.63 Mn |
| Jun 30, 2023 | 28.34 Mn |
| Mar 31, 2023 | 28.65 Mn |
| Dec 31, 2022 | 25.71 Mn |
| Sep 30, 2022 | 25.02 Mn |
| Jun 30, 2022 | 28.41 Mn |
| Mar 31, 2022 | 23.62 Mn |
| Dec 31, 2021 | 22.53 Mn |
| Sep 30, 2021 | 22.33 Mn |
API Access
Greene County Bancorp Accumulated 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=accumulated-expenses&ticker=GCBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GCBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();