BayCom (BCML) Cash & Equivalents (2017 - 2020)
BayCom's Cash & Equivalents was $203.72 million in the quarter ended Jun 30, 2020, down 42.1% from $351.59 million a year earlier and down 25.7% from the prior quarter.
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Analysis
BayCom (BCML) Cash & Equivalents (2017 - 2020) Analysis & Trends
As of Dec 31, 2019, Cash & Equivalents at BayCom came in at $295.38 million, down 8.7% from the prior year.
- Cash & Equivalents shows a three-year compound annual growth rate of 31.9% (years ended Dec 2016 to Dec 2019).
- In earlier years, Cash & Equivalents was $323.58 million in the year ended Dec 31, 2018 (+29.5%), $249.85 million in the year ended Dec 31, 2017 (+94.2%) and $128.68 million in the year ended Dec 31, 2016.
- The figure for the quarter ended Jun 30, 2020 marks the lowest quarterly Cash & Equivalents since the quarter ended Jun 30, 2017.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 4.8% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was the quarter ended Mar 31, 2018 (growth of 103.6%); the worst was the quarter ended Jun 30, 2020 (a decline of 42.1%).
- Per Business Quant data, BCML's Cash & Equivalents in the three quarters before the quarter ended Jun 30, 2020 was $274.31 million (quarter ended Mar 31, 2020), $295.38 million (quarter ended Dec 31, 2019) and $337.08 million (quarter ended Sep 30, 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | BayCom | 332.19 Mn | 332.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 203.72 Mn |
| Mar 31, 2020 | 274.31 Mn |
| Dec 31, 2019 | 295.38 Mn |
| Sep 30, 2019 | 337.08 Mn |
| Jun 30, 2019 | 351.59 Mn |
| Mar 31, 2019 | 332.47 Mn |
| Dec 31, 2018 | 323.58 Mn |
| Sep 30, 2018 | 313.22 Mn |
| Jun 30, 2018 | 318.27 Mn |
| Mar 31, 2018 | 255.55 Mn |
| Dec 31, 2017 | 249.85 Mn |
| Sep 30, 2017 | 242.52 Mn |
| Jun 30, 2017 | 201.18 Mn |
| Mar 31, 2017 | 125.53 Mn |
API Access
BayCom Cash & Equivalents 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-and-equivalents&ticker=BCML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=BCML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();