Central Plains Bancshares (CPBI) Operating Expenses (2022 - 2026)
Central Plains Bancshares' Operating Expenses was $3.97 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.4% from $3.92 million a year earlier but down 0.2% from the prior quarter.
Central Plains Bancshares (CPBI) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Central Plains Bancshares' Operating Expenses was $16.1 million through Jun 30, 2026, up 8.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $16.04 million, up 11.6% from FY2025.
- Operating Expenses has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 14.0% (FY2023 to FY2026).
- In earlier fiscal years, Operating Expenses was $14.38 million in FY2025 (+14.1%), $12.6 million in FY2024 (+16.3%) and $10.84 million in FY2023.
- Quarterly Operating Expenses has moved between $2.49 million (fiscal Q4 2023) and $4.08 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for 12 straight quarters, with growth averaging 10.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 0.0% (fiscal Q1 2024) to 40.0% (fiscal Q4 2024).
- Per Business Quant data, CPBI's Operating Expenses in the three fiscal quarters before Q1 2027 was $3.98 million (Q4 2026), $4.08 million (Q3 2026) and $4.06 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Central Plains Bancshares | 82.78 Mn | -18.58 Mn | - | 3.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.97 Mn |
| Mar 31, 2026 | 3.98 Mn |
| Dec 31, 2025 | 4.08 Mn |
| Sep 30, 2025 | 4.06 Mn |
| Jun 30, 2025 | 3.92 Mn |
| Mar 31, 2025 | 3.84 Mn |
| Dec 31, 2024 | 3.54 Mn |
| Sep 30, 2024 | 3.52 Mn |
| Jun 30, 2024 | 3.47 Mn |
| Mar 31, 2024 | 3.48 Mn |
| Dec 31, 2023 | 3.29 Mn |
| Sep 30, 2023 | 2.99 Mn |
| Jun 30, 2023 | 2.84 Mn |
| Mar 31, 2023 | 2.49 Mn |
| Dec 31, 2022 | 2.73 Mn |
| Sep 30, 2022 | 2.78 Mn |
| Jun 30, 2022 | 2.84 Mn |
Central Plains Bancshares 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=CPBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CPBI", "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=CPBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();