BayCom (BCML) Price to Earnings (2017 - 2026)
BayCom's (BCML) Price to Earnings came in at 27.43 for the quarter ended Jun 30, 2026, up 119.0% from 12.53 a year earlier and up 123.4% from the prior quarter.
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Analysis
BayCom (BCML) Price to Earnings (2017 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, BayCom's Price to Earnings stood at 13.38, up 5.8% from the prior year.
- In prior years, BayCom's Price to Earnings was 12.64 in the year ended Dec 31, 2024 (+27.2%), 9.94 in the year ended Dec 31, 2023 (-3.2%), 10.27 in the year ended Dec 31, 2022 (+6.0%) and 9.68 in the year ended Dec 31, 2021 (-74.3%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Price to Earnings since the quarter ended Dec 31, 2017.
- On a year-over-year basis, Price to Earnings has increased in each of the last ten quarters, with growth averaging 35.8% over the last eight quarters.
- The strongest year-over-year quarter for Price to Earnings in the past five years was the quarter ended Jun 30, 2026, with growth of 119.0%; the weakest was the quarter ended Jun 30, 2023, with a decline of 50.9%.
- According to Business Quant data, Price to Earnings for the three prior quarters was 12.28 (quarter ended Mar 31, 2026), 13.38 (quarter ended Dec 31, 2025) and 13.53 (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.93 |
| Jun 30, 2026 | 27.43 |
| Mar 31, 2026 | 12.28 |
| Dec 31, 2025 | 13.38 |
| Sep 30, 2025 | 13.53 |
| Jun 30, 2025 | 12.53 |
| Mar 31, 2025 | 11.91 |
| Dec 31, 2024 | 12.64 |
| Sep 30, 2024 | 11.05 |
| Jun 30, 2024 | 9.28 |
| Mar 31, 2024 | 8.98 |
| Dec 31, 2023 | 9.94 |
| Sep 30, 2023 | 7.83 |
| Jun 30, 2023 | 6.85 |
| Mar 31, 2023 | 8.27 |
| Dec 31, 2022 | 10.27 |
| Sep 30, 2022 | 10.67 |
| Jun 30, 2022 | 13.94 |
| Mar 31, 2022 | 13.92 |
| Dec 31, 2021 | 9.68 |
API Access
BayCom Price to Earnings 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=price-to-earnings&ticker=BCML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();