BayCom (BCML) EPS (Diluted) (2017 - 2026)
BayCom's EPS (Diluted) was -$0.64 in the quarter ended Jun 30, 2026, compared with $0.58 a year earlier.
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Analysis
BayCom (BCML) EPS (Diluted) (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, BayCom's EPS (Diluted) was $1.20 through Jun 30, 2026, down 45.5% year-over-year; for the year ended Dec 31, 2025, it came in at $2.18, up 3.8% from the prior year.
- EPS (Diluted) shows a five-year compound annual growth rate of 41.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, EPS (Diluted) was $2.10 in the year ended Dec 31, 2024 (-7.7%), $2.27 in the year ended Dec 31, 2023 (+25.6%), $1.81 in the year ended Dec 31, 2022 (-4.9%) and $1.90 in the year ended Dec 31, 2021 (+401.1%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly EPS (Diluted) in data going back to the quarter ended Mar 31, 2017.
- Compared with a year earlier, EPS (Diluted) was higher in five of the last seven quarters, with growth averaging 8.8%.
- The best year-over-year quarter for EPS (Diluted) over five years was the quarter ended Jun 30, 2023 (growth of 104.8%); the worst was the quarter ended Jun 30, 2022 (a decline of 40.9%).
- Per Business Quant data, BCML's EPS (Diluted) in the three quarters before the quarter ended Jun 30, 2026 was $0.75 (quarter ended Mar 31, 2026), $0.62 (quarter ended Dec 31, 2025) and $0.46 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 5.57 |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 1.50 |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 0.91 |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 2.02 |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 3.03 |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 3.06 |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 17.01 |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.87 |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2.15 |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - | 0.10 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.10 |
| Jun 30, 2026 | -0.64 |
| Mar 31, 2026 | 0.75 |
| Dec 31, 2025 | 0.62 |
| Sep 30, 2025 | 0.46 |
| Jun 30, 2025 | 0.58 |
| Mar 31, 2025 | 0.51 |
| Dec 31, 2024 | 0.54 |
| Sep 30, 2024 | 0.54 |
| Jun 30, 2024 | 0.50 |
| Mar 31, 2024 | 0.51 |
| Dec 31, 2023 | 0.53 |
| Sep 30, 2023 | 0.56 |
| Jun 30, 2023 | 0.59 |
| Mar 31, 2023 | 0.57 |
| Dec 31, 2022 | 0.58 |
| Sep 30, 2022 | 0.52 |
| Jun 30, 2022 | 0.29 |
| Mar 31, 2022 | 0.41 |
| Dec 31, 2021 | 0.50 |
API Access
BayCom EPS (Diluted) 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=eps-diluted&ticker=BCML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();