First Mid Bancshares (FMBH) Cash & Equivalents (2009 - 2020)
First Mid Bancshares' Cash & Equivalents was $182.03 million in Q1 2020, down 21.7% from $232.55 million a year earlier but up 113.9% from the prior quarter.
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Analysis
First Mid Bancshares (FMBH) Cash & Equivalents (2009 - 2020) Analysis & Trends
At the end of FY2019, Cash & Equivalents at First Mid Bancshares came in at $85.08 million, down 39.8% from FY2018.
- Cash & Equivalents shows a five-year compound annual growth rate of 10.5% (FY2014 to FY2019).
- In earlier years, Cash & Equivalents was $141.4 million in FY2018 (+59.1%), $88.88 million in FY2017 (-49.5%), $175.9 million in FY2016 (+51.9%) and $115.78 million in FY2015 (+123.8%).
- Quarterly Cash & Equivalents has moved between $46.33 million (Q2 2015) and $232.55 million (Q1 2019) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 61.8%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2019 (growth of 324.1%); the worst was Q1 2018 (a decline of 51.6%).
- Per Business Quant data, FMBH's Cash & Equivalents in the three quarters before Q1 2020 was $85.08 million (Q4 2019), $108.23 million (Q3 2019) and $168.42 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | First Mid Bancshares | 1.33 Bn | 1.31 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 182.03 Mn |
| Dec 31, 2019 | 85.08 Mn |
| Sep 30, 2019 | 108.23 Mn |
| Jun 30, 2019 | 168.42 Mn |
| Mar 31, 2019 | 232.55 Mn |
| Dec 31, 2018 | 141.40 Mn |
| Sep 30, 2018 | 64.49 Mn |
| Jun 30, 2018 | 85.58 Mn |
| Mar 31, 2018 | 54.84 Mn |
| Dec 31, 2017 | 88.88 Mn |
| Sep 30, 2017 | 69.64 Mn |
| Jun 30, 2017 | 73.89 Mn |
| Mar 31, 2017 | 113.25 Mn |
| Dec 31, 2016 | 175.90 Mn |
| Sep 30, 2016 | 123.04 Mn |
| Jun 30, 2016 | 53.07 Mn |
| Mar 31, 2016 | 79.70 Mn |
| Dec 31, 2015 | 115.78 Mn |
| Sep 30, 2015 | 215.46 Mn |
| Jun 30, 2015 | 46.33 Mn |
API Access
First Mid Bancshares 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=FMBH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FMBH", "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=FMBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();