Pcb Bancorp (PCB) EBITDA (2017 - 2026)
Pcb Bancorp (PCB) reported EBITDA of $38.15 million for Q2 2026, up 3.0% from $37.03 million a year earlier and up 0.8% from the prior quarter.
Pcb Bancorp (PCB) EBITDA (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pcb Bancorp's EBITDA came in at $154.92 million, up 9.8% year-over-year; for FY2025, it came in at $150.44 million, up 13.5% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- By year, EBITDA came in at $132.55 million in FY2024 (+20.5%), $110.02 million in FY2023 (+68.6%), $65.26 million in FY2022 (+0.9%) and $64.7 million in FY2021 (+61.6%).
- Five-year quarterly EBITDA spans a low of $13.51 million in Q3 2022 and a high of $41.49 million in Q3 2025.
- Year over year, EBITDA has now increased in each of the last 15 quarters, with growth averaging 14.5% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2021 (growth of 106.6%); the low point was Q3 2022 (a decline of 22.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.86 million (Q1 2026), $37.41 million (Q4 2025) and $41.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Pcb Bancorp | 386.12 Mn | -723.12 Mn | - | 38.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.15 Mn |
| Mar 31, 2026 | 37.86 Mn |
| Dec 31, 2025 | 37.41 Mn |
| Sep 30, 2025 | 41.49 Mn |
| Jun 30, 2025 | 37.03 Mn |
| Mar 31, 2025 | 34.51 Mn |
| Dec 31, 2024 | 34.48 Mn |
| Sep 30, 2024 | 35.02 Mn |
| Jun 30, 2024 | 33.07 Mn |
| Mar 31, 2024 | 29.98 Mn |
| Dec 31, 2023 | 28.33 Mn |
| Sep 30, 2023 | 27.44 Mn |
| Jun 30, 2023 | 26.69 Mn |
| Mar 31, 2023 | 27.56 Mn |
| Dec 31, 2022 | 20.78 Mn |
| Sep 30, 2022 | 13.51 Mn |
| Jun 30, 2022 | 14.83 Mn |
| Mar 31, 2022 | 16.14 Mn |
| Dec 31, 2021 | 16.99 Mn |
| Sep 30, 2021 | 17.44 Mn |
Pcb Bancorp EBITDA 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=ebitda&ticker=PCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();