BayCom (BCML) Other Accumulated Expenses (2017 - 2020)
BayCom (BCML) recorded Other Accumulated Expenses of $889,000 in the quarter ended Jun 30, 2020, down 38.8% from $1.45 million a year earlier and down 27.1% from the prior quarter.
BayCom (BCML) Other Accumulated Expenses (2017 - 2020) Analysis & Trends
As of Dec 31, 2019, BayCom reported Other Accumulated Expenses of $1.61 million, up 711.6% from the prior year.
- Across earlier years, Other Accumulated Expenses came in at $198,000 in the year ended Dec 31, 2018 (+40.4%) and $141,000 in the year ended Dec 31, 2017.
- The figure for the quarter ended Jun 30, 2020 is the lowest quarterly Other Accumulated Expenses since the quarter ended Mar 31, 2019.
- On a year-over-year basis, Other Accumulated Expenses rose in six of the last seven quarters, with growth averaging 399.6%.
- Per Business Quant, the preceding three quarters came in at $1.22 million (quarter ended Mar 31, 2020), $1.61 million (quarter ended Dec 31, 2019) and $1.56 million (quarter ended Sep 30, 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | BayCom | 341.69 Mn | -606.12 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 383,000.00 |
| Dec 31, 2019 | 480.00 |
| Jun 30, 2019 | 365.00 |
| Dec 31, 2018 | 369.00 Mn |
| Dec 31, 2017 | 174.00 Mn |
BayCom Other Accumulated Expenses 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=other-accumulated-expenses&ticker=BCML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();