BayCom (BCML) Tax Provisions (2017 - 2026)
BayCom's Tax Provisions was -$223,000 in the quarter ended Jun 30, 2026, compared with $2.35 million a year earlier.
BayCom (BCML) Tax Provisions (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, BayCom's Tax Provisions was $6.85 million through Jun 30, 2026, down 20.2% year-over-year; for the year ended Dec 31, 2025, it came in at $8.69 million, up 2.1% from the prior year.
- Tax Provisions shows a five-year compound annual growth rate of 14.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Tax Provisions was $8.51 million in the year ended Dec 31, 2024 (-20.7%), $10.73 million in the year ended Dec 31, 2023 (+23.3%), $8.71 million in the year ended Dec 31, 2022 (+11.8%) and $7.79 million in the year ended Dec 31, 2021 (+73.0%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Tax Provisions in data going back to the quarter ended Mar 31, 2017.
- Compared with a year earlier, Tax Provisions was higher in three of the last seven quarters, with growth averaging 2.8%.
- The best year-over-year quarter for Tax Provisions over five years was the quarter ended Dec 31, 2021 (growth of 107.4%); the worst was the quarter ended Jun 30, 2024 (a decline of 30.3%).
- Per Business Quant data, BCML's Tax Provisions in the three quarters before the quarter ended Jun 30, 2026 was $2.73 million (quarter ended Mar 31, 2026), $2.62 million (quarter ended Dec 31, 2025) and $1.73 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | -2.06 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 1.71 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.16 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 1.70 Bn |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - | 104,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 104,000.00 |
| Jun 30, 2026 | -223,000.00 |
| Mar 31, 2026 | 2.73 Mn |
| Dec 31, 2025 | 2.62 Mn |
| Sep 30, 2025 | 1.73 Mn |
| Jun 30, 2025 | 2.35 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | 2.27 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 2.27 Mn |
| Dec 31, 2023 | 2.41 Mn |
| Sep 30, 2023 | 2.64 Mn |
| Jun 30, 2023 | 2.86 Mn |
| Mar 31, 2023 | 2.82 Mn |
| Dec 31, 2022 | 2.83 Mn |
| Sep 30, 2022 | 2.85 Mn |
| Jun 30, 2022 | 1.61 Mn |
| Mar 31, 2022 | 1.43 Mn |
| Dec 31, 2021 | 2.08 Mn |
BayCom 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=BCML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "BCML", "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=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();