BayCom (BCML) Retained Earnings (2017 - 2026)
BayCom (BCML) recorded Retained Earnings of $173.57 million in the quarter ended Jun 30, 2026, up 0.3% from $173.03 million a year earlier but down 5.6% from the prior quarter.
BayCom (BCML) Retained Earnings (2017 - 2026) Analysis & Trends
As of Dec 31, 2025, BayCom reported Retained Earnings of $178.9 million, up 8.5% from the prior year.
- Annual Retained Earnings has increased for eight straight years, with a five-year compound annual growth rate of 16.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Retained Earnings came in at $164.83 million in the year ended Dec 31, 2024 (+12.7%), $146.26 million in the year ended Dec 31, 2023 (+17.8%), $124.12 million in the year ended Dec 31, 2022 (+20.4%) and $103.06 million in the year ended Dec 31, 2021 (+25.1%).
- Quarterly Retained Earnings has ranged from $97.62 million in the quarter ended Sep 30, 2021 to $183.81 million in the quarter ended Mar 31, 2026 over the past five years.
- On a year-over-year basis, Retained Earnings has increased for 29 consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 0.3% (the quarter ended Jun 30, 2026) to 25.4% (the quarter ended Sep 30, 2021).
- Per Business Quant, the preceding three quarters came in at $183.81 million (quarter ended Mar 31, 2026), $178.9 million (quarter ended Dec 31, 2025) and $175.31 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 101.18 Bn |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - | 171.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 171.44 Mn |
| Jun 30, 2026 | 173.57 Mn |
| Mar 31, 2026 | 183.81 Mn |
| Dec 31, 2025 | 178.90 Mn |
| Sep 30, 2025 | 175.31 Mn |
| Jun 30, 2025 | 173.03 Mn |
| Mar 31, 2025 | 168.86 Mn |
| Dec 31, 2024 | 164.83 Mn |
| Sep 30, 2024 | 160.38 Mn |
| Jun 30, 2024 | 155.47 Mn |
| Mar 31, 2024 | 150.98 Mn |
| Dec 31, 2023 | 146.26 Mn |
| Sep 30, 2023 | 141.02 Mn |
| Jun 30, 2023 | 135.57 Mn |
| Mar 31, 2023 | 129.56 Mn |
| Dec 31, 2022 | 124.12 Mn |
| Sep 30, 2022 | 117.14 Mn |
| Jun 30, 2022 | 110.83 Mn |
| Mar 31, 2022 | 107.60 Mn |
| Dec 31, 2021 | 103.06 Mn |
BayCom Retained 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=retained-earnings&ticker=BCML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();