Mercer Bancorp (MSBB) Operating Expenses (2022 - 2026)
Mercer Bancorp (MSBB) recorded Operating Expenses of $1.6 million in fiscal Q2 2026 (quarter ended Mar 31, 2026), down 6.9% from $1.72 million a year earlier and down 3.0% from the prior quarter.
Mercer Bancorp (MSBB) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Mercer Bancorp's Operating Expenses came in at $6.14 million as of Mar 31, 2026, up 1.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $6.01 million, up 6.7% from FY2024.
- Annual Operating Expenses has increased for three straight fiscal years, with a three-year compound annual growth rate of 14.9% (FY2022 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $5.63 million in FY2024 (+9.8%), $5.13 million in FY2023 (+29.5%) and $3.96 million in FY2022.
- Quarterly Operating Expenses has ranged from $960,933 in fiscal Q3 2022 to $1.81 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 5.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 73.2% in fiscal Q4 2023, against a decline of 15.5% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.65 million (Q1 2026), $1.49 million (Q4 2025) and $1.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Mercer Bancorp | 20.27 Mn | 382,707.00 | - | 1.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.60 Mn |
| Dec 31, 2025 | 1.65 Mn |
| Sep 30, 2025 | 1.49 Mn |
| Jun 30, 2025 | 1.40 Mn |
| Mar 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 1.40 Mn |
| Sep 30, 2024 | 1.53 Mn |
| Jun 30, 2024 | 1.41 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 1.33 Mn |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 1.18 Mn |
| Mar 31, 2023 | 1.08 Mn |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 1.05 Mn |
| Jun 30, 2022 | 960,933.00 |
| Mar 31, 2022 | 978,029.00 |
Mercer 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=MSBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MSBB", "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=MSBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();