First Merchants (FRME) Cash & Equivalents (2010 - 2019)
First Merchants' Cash & Equivalents was $177.2 million in Q4 2019, up 27.3% from $139.25 million a year earlier but down 12.4% from the prior quarter.
Powered by 
Analysis
First Merchants (FRME) Cash & Equivalents (2010 - 2019) Analysis & Trends
From Q4 2010 onward, First Merchants has reported Cash & Equivalents for 34 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of 8.4% (FY2014 to FY2019).
- In earlier years, Cash & Equivalents was $139.25 million in FY2018 (-10.1%), $154.91 million in FY2017 (+21.1%), $127.93 million in FY2016 (+25.2%) and $102.17 million in FY2015 (-13.9%).
- Quarterly Cash & Equivalents has moved between $84.68 million (Q3 2015) and $202.38 million (Q3 2019) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with growth averaging 7.4%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2017 (growth of 47.2%); the worst was Q1 2015 (a decline of 21.0%).
- Per Business Quant data, FRME's Cash & Equivalents in the three quarters before Q4 2019 was $202.38 million (Q3 2019), $128.19 million (Q2 2019) and $115.88 million (Q1 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 | First Merchants | 2.53 Bn | 2.53 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 177.20 Mn |
| Sep 30, 2019 | 202.38 Mn |
| Jun 30, 2019 | 128.19 Mn |
| Mar 31, 2019 | 115.88 Mn |
| Dec 31, 2018 | 139.25 Mn |
| Sep 30, 2018 | 142.50 Mn |
| Jun 30, 2018 | 133.89 Mn |
| Mar 31, 2018 | 128.83 Mn |
| Dec 31, 2017 | 154.91 Mn |
| Sep 30, 2017 | 146.61 Mn |
| Jun 30, 2017 | 142.65 Mn |
| Mar 31, 2017 | 104.25 Mn |
| Dec 31, 2016 | 127.93 Mn |
| Sep 30, 2016 | 99.60 Mn |
| Jun 30, 2016 | 120.47 Mn |
| Mar 31, 2016 | 85.74 Mn |
| Dec 31, 2015 | 102.17 Mn |
| Sep 30, 2015 | 84.68 Mn |
| Jun 30, 2015 | 105.93 Mn |
| Mar 31, 2015 | 89.24 Mn |
API Access
First Merchants 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=FRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FRME", "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=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();