Pcb Bancorp (PCB) Cash from Operations (2017 - 2026)
Pcb Bancorp's Cash from Operations came in at $1.35 million for Q2 2026, down 72.4% from $4.9 million a year earlier and down 93.5% from the prior quarter.
Pcb Bancorp (PCB) Cash from Operations (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pcb Bancorp reported Cash from Operations of $41.37 million, up 77.2% year-over-year; for FY2025, it came in at $26.59 million, down 31.8% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $38.99 million in FY2024 (-38.5%), $63.34 million in FY2023 (+10.6%), $57.27 million in FY2022 and -$1.62 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Cash from Operations since Q4 2021.
- Year-over-year, Cash from Operations increased in two of the last eight quarters, with growth averaging 60.4%.
- The fastest year-over-year change in Cash from Operations over five years came in Q3 2023 (growth of 859.9%), and the weakest in Q2 2026 (a decline of 72.4%).
- Business Quant data shows PCB's Cash from Operations at $20.68 million (Q1 2026), $2.93 million (Q4 2025) and $16.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Pcb Bancorp | 386.12 Mn | -723.12 Mn | - | 1.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Mn |
| Mar 31, 2026 | 20.68 Mn |
| Dec 31, 2025 | 2.93 Mn |
| Sep 30, 2025 | 16.42 Mn |
| Jun 30, 2025 | 4.90 Mn |
| Mar 31, 2025 | 2.35 Mn |
| Dec 31, 2024 | 4.22 Mn |
| Sep 30, 2024 | 11.89 Mn |
| Jun 30, 2024 | 14.63 Mn |
| Mar 31, 2024 | 8.25 Mn |
| Dec 31, 2023 | 9.89 Mn |
| Sep 30, 2023 | 18.82 Mn |
| Jun 30, 2023 | 16.41 Mn |
| Mar 31, 2023 | 18.22 Mn |
| Dec 31, 2022 | 16.53 Mn |
| Sep 30, 2022 | 1.96 Mn |
| Jun 30, 2022 | 9.62 Mn |
| Mar 31, 2022 | 29.16 Mn |
| Dec 31, 2021 | -1.31 Mn |
| Sep 30, 2021 | -7.52 Mn |
Pcb Bancorp Cash from Operations 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-from-operations&ticker=PCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=PCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();