Pcb Bancorp (PCB) Tax Provisions (2017 - 2026)
Pcb Bancorp's Tax Provisions was $4.2 million in Q2 2026, up 16.7% from $3.6 million a year earlier but down 2.3% from the prior quarter.
Pcb Bancorp (PCB) Tax Provisions (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pcb Bancorp's Tax Provisions was $16.89 million through Jun 30, 2026, up 31.2% year-over-year; for FY2025, it came in at $15.04 million, up 43.5% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $10.48 million in FY2024 (-16.6%), $12.56 million in FY2023 (-12.9%), $14.42 million in FY2022 (-14.5%) and $16.86 million in FY2021 (+146.6%).
- Quarterly Tax Provisions has moved between $1.82 million (Q1 2024) and $4.61 million (Q3 2021) over five years.
- Compared with a year earlier, Tax Provisions has increased for seven straight quarters, with growth averaging 34.9% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q3 2021 (growth of 207.5%); the worst was Q1 2024 (a decline of 56.7%).
- Per Business Quant data, PCB's Tax Provisions in the three quarters before Q2 2026 was $4.3 million (Q1 2026), $3.89 million (Q4 2025) and $4.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Pcb Bancorp | 386.12 Mn | -723.12 Mn | - | 4.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.20 Mn |
| Mar 31, 2026 | 4.30 Mn |
| Dec 31, 2025 | 3.89 Mn |
| Sep 30, 2025 | 4.50 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 3.10 Mn |
| Dec 31, 2024 | 3.28 Mn |
| Sep 30, 2024 | 2.90 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 1.82 Mn |
| Dec 31, 2023 | 2.35 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 3.10 Mn |
| Mar 31, 2023 | 4.20 Mn |
| Dec 31, 2022 | 3.69 Mn |
| Sep 30, 2022 | 2.80 Mn |
| Jun 30, 2022 | 3.80 Mn |
| Mar 31, 2022 | 4.20 Mn |
| Dec 31, 2021 | 4.55 Mn |
| Sep 30, 2021 | 4.61 Mn |
Pcb Bancorp Tax Provisions 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=tax-provisions&ticker=PCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();