BayCom (BCML) Cash from Operations (2017 - 2026)
BayCom (BCML) recorded Cash from Operations of $5.13 million in the quarter ended Jun 30, 2026, down 19.4% from $6.37 million a year earlier and down 26.6% from the prior quarter.
BayCom (BCML) Cash from Operations (2017 - 2026) Analysis & Trends
On a TTM basis, BayCom's Cash from Operations came in at $28.31 million as of Jun 30, 2026, down 14.9% year-over-year; for the year ended Dec 31, 2025, it was $31.83 million, up 4.9% from the prior year.
- Annual Cash from Operations has a five-year compound annual growth rate of 26.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Cash from Operations came in at $30.36 million in the year ended Dec 31, 2024 (-1.4%), $30.8 million in the year ended Dec 31, 2023 (-22.2%), $39.61 million in the year ended Dec 31, 2022 (+279.8%) and $10.43 million in the year ended Dec 31, 2021 (+4.3%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Cash from Operations since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Cash from Operations rose in three of the last eight quarters, with growth averaging 34.1%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 337.2% in the quarter ended Mar 31, 2022, against a decline of 78.8% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.99 million (quarter ended Mar 31, 2026), $8.84 million (quarter ended Dec 31, 2025) and $7.35 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 33.16 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | -6.50 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | -46.02 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 25.17 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 4.18 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 8.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - | 12.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.84 Mn |
| Jun 30, 2026 | 5.13 Mn |
| Mar 31, 2026 | 6.99 Mn |
| Dec 31, 2025 | 8.84 Mn |
| Sep 30, 2025 | 7.35 Mn |
| Jun 30, 2025 | 6.37 Mn |
| Mar 31, 2025 | 9.28 Mn |
| Dec 31, 2024 | 7.99 Mn |
| Sep 30, 2024 | 9.62 Mn |
| Jun 30, 2024 | 7.67 Mn |
| Mar 31, 2024 | 5.08 Mn |
| Dec 31, 2023 | 8.41 Mn |
| Sep 30, 2023 | 2.60 Mn |
| Jun 30, 2023 | 11.60 Mn |
| Mar 31, 2023 | 8.19 Mn |
| Dec 31, 2022 | 15.86 Mn |
| Sep 30, 2022 | 12.26 Mn |
| Jun 30, 2022 | 8.66 Mn |
| Mar 31, 2022 | 2.85 Mn |
| Dec 31, 2021 | 5.04 Mn |
BayCom Cash from Operations 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=cash-from-operations&ticker=BCML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();