BayCom (BCML) EBIT (2017 - 2026)
BayCom (BCML) posted EBIT of $1.34 million for the quarter ended Jun 30, 2026, down 93.0% from $19.01 million a year earlier and down 93.4% from the prior quarter.
BayCom (BCML) EBIT (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at BayCom was $58.68 million, down 20.7% year-over-year; for the year ended Dec 31, 2025, it came in at $73.55 million, up 1.2% from the prior year.
- Annual EBIT has increased for five consecutive years, with a five-year compound annual growth rate of 22.1% (years ended Dec 2020 to Dec 2025).
- In prior years, BayCom's EBIT was $72.69 million in the year ended Dec 31, 2024 (+9.1%), $66.62 million in the year ended Dec 31, 2023 (+55.7%), $42.79 million in the year ended Dec 31, 2022 (+14.8%) and $37.28 million in the year ended Dec 31, 2021 (+37.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly EBIT in data going back to the quarter ended Mar 31, 2020.
- On a year-over-year basis, EBIT increased in five of the last eight quarters, with an average decline of 7.0%.
- The strongest year-over-year quarter for EBIT in the past five years was the quarter ended Jun 30, 2023, with growth of 114.0%; the weakest was the quarter ended Jun 30, 2026, with a decline of 93.0%.
- According to Business Quant data, EBIT for the three prior quarters was $20.26 million (quarter ended Mar 31, 2026), $18.81 million (quarter ended Dec 31, 2025) and $18.28 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 46.15 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 26.78 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.97 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 19.42 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 18.35 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 26.03 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 18.49 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.11 Bn |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - | 10.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.17 Mn |
| Jun 30, 2026 | 1.34 Mn |
| Mar 31, 2026 | 20.26 Mn |
| Dec 31, 2025 | 18.81 Mn |
| Sep 30, 2025 | 18.28 Mn |
| Jun 30, 2025 | 19.01 Mn |
| Mar 31, 2025 | 17.46 Mn |
| Dec 31, 2024 | 18.65 Mn |
| Sep 30, 2024 | 18.85 Mn |
| Jun 30, 2024 | 17.71 Mn |
| Mar 31, 2024 | 17.48 Mn |
| Dec 31, 2023 | 17.47 Mn |
| Sep 30, 2023 | 17.29 Mn |
| Jun 30, 2023 | 17.05 Mn |
| Mar 31, 2023 | 14.81 Mn |
| Dec 31, 2022 | 13.49 Mn |
| Sep 30, 2022 | 12.23 Mn |
| Jun 30, 2022 | 7.97 Mn |
| Mar 31, 2022 | 9.11 Mn |
| Dec 31, 2021 | 9.70 Mn |
BayCom EBIT 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=ebit&ticker=BCML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();