BayCom (BCML) Price to Earnings (2017 - 2026)
BayCom's (BCML) quarterly Price to Earnings came in at 51.55 in Q2 2026, down 208.21% on a YoY basis from 47.64 in Q2 2025, and down 230.04% quarter-over-quarter from 39.64 in Q1 2026.
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Analysis
BayCom (BCML) Price to Earnings (2017 - 2026) Analysis & Trends
BayCom (BCML) has reported Price to Earnings for 10 consecutive years, with 51.55 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 208.21% year-over-year to 51.55; the trailing twelve-month figure through Jun 2026 stood at 28.53 (up 127.76% YoY), and the FY2025 full-year result was 13.71, up 8.13% from the prior year.
- Price to Earnings declined to 51.55 in Q2 2026 per BCML's latest filing, from 39.64 in the prior quarter.
- Across five years, Price to Earnings topped out at 71.3 in Q2 2022 and bottomed at 51.55 in Q2 2026.
- Historically, Price to Earnings has averaged 39.0 across 5 years, with a median of 41.6 in 2023.
- The sharpest annual moves came in 2022 and 2026: Price to Earnings surged 97.07% in 2022, then tumbled 208.21% in 2026.
- Over 5 years, Price to Earnings stood at 36.35 in 2022, then grew by 17.21% to 42.6 in 2023, then rose by 14.48% to 48.77 in 2024, then gained by 3.27% to 50.37 in 2025, then slumped by 202.35% to 51.55 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 51.55, 39.64, and 50.37 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 424.88 Bn | 544.83 Bn | - |
| 2 | Truist Financial | 59.29 Bn | 59.29 Bn | - |
| 3 | Fifth Third Bancorp | 47.98 Bn | 24.26 Bn | - |
| 4 | M&T Bank | 32.82 Bn | 32.82 Bn | - |
| 5 | Huntington Bancshares | 32.08 Bn | 27.60 Bn | - |
| 6 | Citizens Financial | 28.34 Bn | 28.34 Bn | - |
| 7 | Regions Financial | 24.27 Bn | 24.34 Bn | - |
| 8 | Keycorp | 22.19 Bn | -25.51 Bn | - |
| 9 | First Citizens Bancshares | 21.93 Bn | 21.41 Bn | 29.00 Mn |
| 10 | BayCom | 328.37 Mn | 150.99 Mn | 25.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -51.55 |
| Mar 31, 2026 | 39.64 |
| Dec 31, 2025 | 50.37 |
| Sep 30, 2025 | 62.68 |
| Jun 30, 2025 | 47.64 |
| Mar 31, 2025 | 48.95 |
| Dec 31, 2024 | 48.77 |
| Sep 30, 2024 | 43.88 |
| Jun 30, 2024 | 40.60 |
| Mar 31, 2024 | 39.90 |
| Dec 31, 2023 | 42.60 |
| Sep 30, 2023 | 33.82 |
| Jun 30, 2023 | 27.55 |
| Mar 31, 2023 | 29.56 |
| Dec 31, 2022 | 36.35 |
| Sep 30, 2022 | 32.98 |
| Jun 30, 2022 | 71.30 |
| Mar 31, 2022 | 56.94 |
| Dec 31, 2021 | 36.85 |
| Sep 30, 2021 | 36.72 |
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();