Pcb Bancorp (PCB) Accumulated Expenses (2017 - 2026)
Pcb Bancorp's Accumulated Expenses came in at $39.3 million for Q2 2026, down 5.3% from $41.52 million a year earlier and down 9.0% from the prior quarter.
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Analysis
Pcb Bancorp (PCB) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Pcb Bancorp's Accumulated Expenses was $43.34 million, down 14.5% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 49.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $50.7 million in FY2024 (+74.8%), $29.01 million in FY2023 (+145.8%), $11.8 million in FY2022 (+33.0%) and $8.87 million in FY2021 (+54.0%).
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q2 2024.
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with growth averaging 21.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2023 (growth of 303.0%), and the weakest in Q4 2025 (a decline of 14.5%).
- Business Quant data shows PCB's Accumulated Expenses at $43.19 million (Q1 2026), $43.34 million (Q4 2025) and $46.54 million (Q3 2025) in the three quarters before Q2 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 | Pcb Bancorp | 386.12 Mn | -723.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.30 Mn |
| Mar 31, 2026 | 43.19 Mn |
| Dec 31, 2025 | 43.34 Mn |
| Sep 30, 2025 | 46.54 Mn |
| Jun 30, 2025 | 41.52 Mn |
| Mar 31, 2025 | 49.03 Mn |
| Dec 31, 2024 | 50.70 Mn |
| Sep 30, 2024 | 47.38 Mn |
| Jun 30, 2024 | 37.73 Mn |
| Mar 31, 2024 | 31.63 Mn |
| Dec 31, 2023 | 29.01 Mn |
| Sep 30, 2023 | 28.14 Mn |
| Jun 30, 2023 | 22.21 Mn |
| Mar 31, 2023 | 15.77 Mn |
| Dec 31, 2022 | 11.80 Mn |
| Sep 30, 2022 | 8.83 Mn |
| Jun 30, 2022 | 5.51 Mn |
| Mar 31, 2022 | 11.13 Mn |
| Dec 31, 2021 | 8.87 Mn |
| Sep 30, 2021 | 6.57 Mn |
API Access
Pcb 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=PCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PCB", "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=PCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();