BayCom (BCML) Mortgage Banking (2017 - 2026)
BayCom's Mortgage Banking came in at $353,000 for the quarter ended Jun 30, 2026, down 31.6% from $516,000 a year earlier but up 23.0% from the prior quarter.
BayCom (BCML) Mortgage Banking (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BayCom reported Mortgage Banking of $1.46 million, down 10.0% year-over-year; for the year ended Dec 31, 2025, it was $1.73 million, up 11.3% from the prior year.
- Mortgage Banking carries a five-year compound annual growth rate of -6.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Mortgage Banking was $1.55 million in the year ended Dec 31, 2024 (-17.5%), $1.88 million in the year ended Dec 31, 2023 (-13.6%), $2.18 million in the year ended Dec 31, 2022 (+18.7%) and $1.83 million in the year ended Dec 31, 2021 (-25.6%).
- The five-year range for quarterly Mortgage Banking is $287,000 (the quarter ended Mar 31, 2026) to $607,000 (the quarter ended Jun 30, 2022).
- Year-over-year, Mortgage Banking increased in three of the last eight quarters, with an average decline of 5.9%.
- The fastest year-over-year change in Mortgage Banking over five years came in the quarter ended Jun 30, 2022 (growth of 39.2%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 33.4%).
- Business Quant data shows BCML's Mortgage Banking at $287,000 (quarter ended Mar 31, 2026), $417,000 (quarter ended Dec 31, 2025) and $403,000 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 505,000.00 |
| Jun 30, 2026 | 353,000.00 |
| Mar 31, 2026 | 287,000.00 |
| Dec 31, 2025 | 417,000.00 |
| Sep 30, 2025 | 403,000.00 |
| Jun 30, 2025 | 516,000.00 |
| Mar 31, 2025 | 389,000.00 |
| Dec 31, 2024 | 393,000.00 |
| Sep 30, 2024 | 324,000.00 |
| Jun 30, 2024 | 441,000.00 |
| Mar 31, 2024 | 392,000.00 |
| Dec 31, 2023 | 445,000.00 |
| Sep 30, 2023 | 431,000.00 |
| Jun 30, 2023 | 593,000.00 |
| Mar 31, 2023 | 410,000.00 |
| Dec 31, 2022 | 506,000.00 |
| Sep 30, 2022 | 488,000.00 |
| Jun 30, 2022 | 607,000.00 |
| Mar 31, 2022 | 574,000.00 |
| Dec 31, 2021 | 410,000.00 |
BayCom Mortgage Banking 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=mortgage-banking&ticker=BCML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "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=mortgage-banking&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();