BayCom (BCML) Enterprise Value (2016 - 2026)
BayCom (BCML) posted Enterprise Value of $358.92 million for the quarter ended Jun 30, 2026, up 18.4% from $303.18 million a year earlier and up 10.7% from the prior quarter.
BayCom (BCML) Enterprise Value (2016 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, BayCom's Enterprise Value came in at $320.1 million, up 7.2% from the prior year.
- Annual Enterprise Value has increased for five consecutive years, with a five-year compound annual growth rate of 13.3% (years ended Dec 2020 to Dec 2025).
- In prior years, BayCom's Enterprise Value was $298.5 million in the year ended Dec 31, 2024 (+9.5%), $272.49 million in the year ended Dec 31, 2023 (+11.8%), $243.67 million in the year ended Dec 31, 2022 (+21.6%) and $200.36 million in the year ended Dec 31, 2021 (+16.9%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Enterprise Value in data going back to the quarter ended Mar 31, 2017.
- On a year-over-year basis, Enterprise Value has increased in each of the last 11 quarters, with growth averaging 17.5% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was the quarter ended Sep 30, 2021, with growth of 63.1%; the weakest was the quarter ended Jun 30, 2023, with a decline of 28.8%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $324.33 million (quarter ended Mar 31, 2026), $320.1 million (quarter ended Dec 31, 2025) and $313.86 million (quarter ended Sep 30, 2025).
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 | 110.18 Mn |
| Jun 30, 2026 | 169.83 Mn |
| Mar 31, 2026 | 5.82 Mn |
| Dec 31, 2025 | 101.03 Mn |
| Sep 30, 2025 | 72.10 Mn |
| Jun 30, 2025 | -1.31 Mn |
| Mar 31, 2025 | 9.71 Mn |
| Dec 31, 2024 | -78.65 Mn |
| Sep 30, 2024 | -51.60 Mn |
| Jun 30, 2024 | -176.69 Mn |
| Mar 31, 2024 | -127.01 Mn |
| Dec 31, 2023 | -47.63 Mn |
| Sep 30, 2023 | -89.32 Mn |
| Jun 30, 2023 | -63.62 Mn |
| Mar 31, 2023 | 15.01 Mn |
| Dec 31, 2022 | 53.10 Mn |
| Sep 30, 2022 | 5.19 Mn |
| Jun 30, 2022 | -75.93 Mn |
| Mar 31, 2022 | -146.13 Mn |
| Dec 31, 2021 | -198.10 Mn |
BayCom Enterprise Value 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=enterprise-value&ticker=BCML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();