BayCom (BCML) Change in Net Loans (2017 - 2026)
BayCom's Change in Net Loans was $11.49 million in the quarter ended Jun 30, 2026, down 42.4% from $19.95 million a year earlier.
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Analysis
BayCom (BCML) Change in Net Loans (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, BayCom's Change in Net Loans was $12.94 million through Jun 30, 2026, down 80.3% year-over-year; for the year ended Dec 31, 2025, it was $85.38 million.
- Change in Net Loans shows a five-year compound annual growth rate of 0.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, Change in Net Loans was -$46.25 million in the year ended Dec 31, 2024, -$113.62 million in the year ended Dec 31, 2023, -$67.76 million in the year ended Dec 31, 2022 and $2.92 million in the year ended Dec 31, 2021 (-96.5%).
- Quarterly Change in Net Loans has moved between -$79.03 million (the quarter ended Mar 31, 2022) and $45.72 million (the quarter ended Sep 30, 2021) over five years.
- Per Business Quant data, BCML's Change in Net Loans in the three quarters before the quarter ended Jun 30, 2026 was -$58.99 million (quarter ended Mar 31, 2026), $20.9 million (quarter ended Dec 31, 2025) and $39.54 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 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 | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - | -29.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -29.23 Mn |
| Jun 30, 2026 | -11.49 Mn |
| Mar 31, 2026 | 58.99 Mn |
| Dec 31, 2025 | -20.90 Mn |
| Sep 30, 2025 | -39.54 Mn |
| Jun 30, 2025 | -19.95 Mn |
| Mar 31, 2025 | -4.99 Mn |
| Dec 31, 2024 | -18.78 Mn |
| Sep 30, 2024 | -22.04 Mn |
| Jun 30, 2024 | 51.04 Mn |
| Mar 31, 2024 | 36.03 Mn |
| Dec 31, 2023 | 59.76 Mn |
| Sep 30, 2023 | 64.37 Mn |
| Jun 30, 2023 | -31.07 Mn |
| Mar 31, 2023 | 20.56 Mn |
| Dec 31, 2022 | 148.87 Mn |
| Sep 30, 2022 | -2.99 Mn |
| Jun 30, 2022 | 915,000.00 |
| Mar 31, 2022 | -79.03 Mn |
| Dec 31, 2021 | 14.91 Mn |
API Access
BayCom Change in Net Loans 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=change-in-net-loans&ticker=BCML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();