Gouverneur Bancorp (GOVB) Operating Expenses (2022 - 2026)
Gouverneur Bancorp (GOVB) posted Operating Expenses of $1.86 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.2% from $1.79 million a year earlier and up 0.7% from the prior quarter.
Gouverneur Bancorp (GOVB) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Gouverneur Bancorp was $7.44 million, up 0.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $7.35 million, down 0.3% from FY2024.
- Annual Operating Expenses shows a three-year compound annual growth rate of 12.9% (FY2022 to FY2025).
- In prior fiscal years, Gouverneur Bancorp's Operating Expenses was $7.37 million in FY2024 (+0.9%), $7.31 million in FY2023 (+43.2%) and $5.1 million in FY2022.
- Quarterly Operating Expenses has run from a low of $1.18 million in fiscal Q3 2022 to a high of $1.92 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 0.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2023, with growth of 56.3%; the weakest was fiscal Q3 2024, with a decline of 4.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.85 million (Q2 2026), $1.85 million (Q1 2026) and $1.88 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Gouverneur Bancorp | 24.16 Mn | -78.72 Mn | - | 1.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | 1.85 Mn |
| Dec 31, 2025 | 1.85 Mn |
| Sep 30, 2025 | 1.88 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 1.85 Mn |
| Dec 31, 2024 | 1.84 Mn |
| Sep 30, 2024 | 1.91 Mn |
| Jun 30, 2024 | 1.77 Mn |
| Mar 31, 2024 | 1.92 Mn |
| Dec 31, 2023 | 1.78 Mn |
| Sep 30, 2023 | 1.85 Mn |
| Jun 30, 2023 | 1.85 Mn |
| Mar 31, 2023 | 1.84 Mn |
| Dec 31, 2022 | 1.77 Mn |
| Sep 30, 2022 | 1.43 Mn |
| Jun 30, 2022 | 1.18 Mn |
Gouverneur Bancorp Operating 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=operating-expenses&ticker=GOVB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GOVB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GOVB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();