Greene County Bancorp (GCBC) Provision for Losses (2010 - 2026)
Greene County Bancorp (GCBC) posted Provision for Losses of $126,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$880,000 a year earlier and down 72.1% from the prior quarter.
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Analysis
Greene County Bancorp (GCBC) Provision for Losses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Greene County Bancorp's Provision for Losses came in at $2.03 million, up 54.5% from FY2025.
- Annual Provision for Losses shows a five-year compound annual growth rate of -12.5% (FY2021 to FY2026).
- In prior fiscal years, Greene County Bancorp's Provision for Losses was $1.32 million in FY2025 (+71.8%), $766,000 in FY2024, -$1.07 million in FY2023 and $3.28 million in FY2022 (-17.5%).
- Quarterly Provision for Losses has run from a low of -$944,000 in fiscal Q3 2023 to a high of $1.28 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Provision for Losses increased in four of the last six quarters, with growth averaging 79.2%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was fiscal Q3 2025, with growth of 273.8%; the weakest was fiscal Q3 2022, with a decline of 88.6%.
- According to Business Quant data, Provision for Losses for the three prior fiscal quarters was $451,000 (Q3 2026), $199,000 (Q2 2026) and $1.26 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Greene County Bancorp | 607.98 Mn | 587.76 Mn | - | 126,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126,000.00 |
| Mar 31, 2026 | 451,000.00 |
| Dec 31, 2025 | 199,000.00 |
| Sep 30, 2025 | 1.26 Mn |
| Jun 30, 2025 | -880,000.00 |
| Mar 31, 2025 | 1.08 Mn |
| Dec 31, 2024 | 478,000.00 |
| Sep 30, 2024 | 634,000.00 |
| Jun 30, 2024 | -151,000.00 |
| Mar 31, 2024 | 290,000.00 |
| Dec 31, 2023 | 170,000.00 |
| Sep 30, 2023 | 457,000.00 |
| Jun 30, 2023 | 128,000.00 |
| Mar 31, 2023 | -944,000.00 |
| Dec 31, 2022 | 244,000.00 |
| Sep 30, 2022 | -499,000.00 |
| Jun 30, 2022 | 847,000.00 |
| Mar 31, 2022 | 163,000.00 |
| Dec 31, 2021 | 1.28 Mn |
| Sep 30, 2021 | 988,000.00 |
API Access
Greene County Bancorp Provision for Losses 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=provision-for-losses&ticker=GCBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=GCBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();