BayCom (BCML) Revenue (2017 - 2026)
BayCom (BCML) recorded Revenue of $25.21 million in the quarter ended Jun 30, 2026, up 2.2% from $24.67 million a year earlier but down 5.7% from the prior quarter.
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Analysis
BayCom (BCML) Revenue (2017 - 2026) Analysis & Trends
On a TTM basis, BayCom's Revenue came in at $53.63 million as of Jun 30, 2026, up 5.6% year-over-year; for the year ended Dec 31, 2025, it came in at $3.54 million, up 5.5% from the prior year.
- Annual Revenue has a five-year compound annual growth rate of 6.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Revenue came in at $3.35 million in the year ended Dec 31, 2024 (-6.1%), $3.57 million in the year ended Dec 31, 2023 (-96.5%), $102.81 million in the year ended Dec 31, 2022 and $2.4 million in the year ended Dec 31, 2021 (-5.7%).
- Quarterly Revenue has ranged from $584,000 in the quarter ended Dec 31, 2021 to $100.65 million in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, Revenue rose in three of the last seven quarters, with an average decline of 0.2%.
- Peak year-over-year performance for Revenue in the last five years was growth of 40.5% in the quarter ended Mar 31, 2023, against a decline of 99.2% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.74 million (quarter ended Mar 31, 2026), $853,000 (quarter ended Dec 31, 2025) and $825,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - | 19.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.75 Mn |
| Jun 30, 2026 | 25.21 Mn |
| Mar 31, 2026 | 26.74 Mn |
| Dec 31, 2025 | -71.11 Mn |
| Sep 30, 2025 | 25.66 Mn |
| Jun 30, 2025 | 24.67 Mn |
| Mar 31, 2025 | 24.32 Mn |
| Dec 31, 2024 | 23.66 Mn |
| Sep 30, 2024 | 25.61 Mn |
| Jun 30, 2024 | 23.78 Mn |
| Mar 31, 2024 | 24.47 Mn |
| Dec 31, 2023 | 26.20 Mn |
| Sep 30, 2023 | 26.46 Mn |
| Jun 30, 2023 | 25.37 Mn |
| Mar 31, 2023 | 26.82 Mn |
| Dec 31, 2022 | 100.65 Mn |
| Sep 30, 2022 | 27.11 Mn |
| Jun 30, 2022 | 23.35 Mn |
| Mar 31, 2022 | 24.98 Mn |
| Dec 31, 2021 | 21.77 Mn |
API Access
BayCom Revenue 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=revenue&ticker=BCML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();