Pcb Bancorp (PCB) Cash & Equivalents (2017 - 2026)
Pcb Bancorp (PCB) reported Cash & Equivalents of $265.2 million for Q2 2026, up 0.6% from $263.57 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Pcb Bancorp (PCB) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Pcb Bancorp posted Cash & Equivalents of $207.14 million, up 4.2% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $198.79 million in FY2024 (-18.0%), $242.34 million in FY2023 (+64.8%), $147.03 million in FY2022 (-27.7%) and $203.29 million in FY2021 (+4.7%).
- Five-year quarterly Cash & Equivalents spans a low of $147.03 million in Q4 2022 and a high of $369.5 million in Q3 2025.
- Year over year, Cash & Equivalents has now increased in each of the last five quarters, with growth averaging 17.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2025 (growth of 91.4%); the low point was Q3 2022 (a decline of 28.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $267.41 million (Q1 2026), $207.14 million (Q4 2025) and $369.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (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 | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 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 | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Pcb Bancorp | 386.12 Mn | -723.12 Mn | - | 265.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 265.20 Mn |
| Mar 31, 2026 | 267.41 Mn |
| Dec 31, 2025 | 207.14 Mn |
| Sep 30, 2025 | 369.50 Mn |
| Jun 30, 2025 | 263.57 Mn |
| Mar 31, 2025 | 214.35 Mn |
| Dec 31, 2024 | 198.79 Mn |
| Sep 30, 2024 | 193.06 Mn |
| Jun 30, 2024 | 177.63 Mn |
| Mar 31, 2024 | 239.79 Mn |
| Dec 31, 2023 | 242.34 Mn |
| Sep 30, 2023 | 192.35 Mn |
| Jun 30, 2023 | 222.15 Mn |
| Mar 31, 2023 | 190.52 Mn |
| Dec 31, 2022 | 147.03 Mn |
| Sep 30, 2022 | 154.04 Mn |
| Jun 30, 2022 | 299.91 Mn |
| Mar 31, 2022 | 250.21 Mn |
| Dec 31, 2021 | 203.29 Mn |
| Sep 30, 2021 | 214.97 Mn |
API Access
Pcb Bancorp Cash & Equivalents 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=cash-and-equivalents&ticker=PCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();