Oceanfirst Financial (OCFC) Cash & Equivalents (2011 - 2019)
Oceanfirst Financial (OCFC) posted Cash & Equivalents of $51.1 million for Q4 2019, up 461.13% on a QoQ basis from $9.1 million in Q3 2016.
Oceanfirst Financial (OCFC) Cash & Equivalents (2011 - 2019) Analysis & Trends
Oceanfirst Financial has reported Cash & Equivalents for 7 years, with the latest figure at $51.1 million in Q4 2019.
- On a quarterly basis, Cash & Equivalents changed N/A year-over-year to $51.1 million in Q4 2019; TTM through Dec 2019 was $51.1 million, a N/A change from a year earlier, with the FY2019 full-year figure at $51.1 million, changed N/A from the prior year.
- Cash & Equivalents was $51.1 million for Q4 2019 at Oceanfirst Financial, up from $9.1 million in the prior quarter.
- The five-year high for Cash & Equivalents was $51.1 million in Q4 2019, with the low at $8.8 million in Q4 2015.
- Average Cash & Equivalents over 3 years is $15.5 million, with a median of $10.2 million recorded in 2015.
- The largest YoY upside for Cash & Equivalents was 9.67% in 2015 against a maximum downside of 38.45% in 2015.
- Over 3 years, Cash & Equivalents stood at $8.8 million in 2015, then rose by 3.17% to $9.1 million in 2016, then surged by 461.13% to $51.1 million in 2019.
- The last three Cash & Equivalents figures came in at $51.1 million (Q4 2019), $9.1 million (Q3 2016), and $9.8 million (Q2 2016), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Banco Santander Chile | 439.96 Bn | 559.90 Bn | - | - |
| 2 | Truist Financial | 58.71 Bn | 58.71 Bn | - | - |
| 3 | Fifth Third Bancorp | 47.86 Bn | 24.13 Bn | - | 4.37 Bn |
| 4 | M&T Bank | 32.26 Bn | 32.26 Bn | - | - |
| 5 | Huntington Bancshares | 31.70 Bn | 27.21 Bn | - | - |
| 6 | Citizens Financial | 27.67 Bn | 27.67 Bn | - | - |
| 7 | Regions Financial | 23.78 Bn | 23.85 Bn | - | - |
| 8 | Keycorp | 21.85 Bn | -25.84 Bn | - | - |
| 9 | First Citizens Bancshares | 21.48 Bn | 20.95 Bn | 29.00 Mn | - |
| 10 | Oceanfirst Financial | 1.22 Bn | 1.22 Bn | -4.36 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 51.10 Mn |
| Sep 30, 2016 | 9.11 Mn |
| Jun 30, 2016 | 9.79 Mn |
| Mar 31, 2016 | 9.03 Mn |
| Dec 31, 2015 | 8.83 Mn |
| Sep 30, 2015 | 12.84 Mn |
| Jun 30, 2015 | 13.09 Mn |
| Mar 31, 2015 | 10.55 Mn |
| Dec 31, 2014 | 11.68 Mn |
| Sep 30, 2014 | 11.71 Mn |
| Jun 30, 2014 | 14.79 Mn |
| Mar 31, 2014 | 17.15 Mn |
| Dec 31, 2013 | 18.90 Mn |
| Sep 30, 2013 | 11.39 Mn |
| Jun 30, 2013 | 11.79 Mn |
| Mar 31, 2013 | 12.50 Mn |
| Dec 31, 2012 | 12.03 Mn |
| Sep 30, 2012 | 9.86 Mn |
| Jun 30, 2012 | 9.81 Mn |
| Dec 31, 2011 | 9.31 Mn |
Oceanfirst Financial 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=OCFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "OCFC", "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=OCFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();