Happen (HAPN) Cash & Equivalents (2010 - 2020)
Happen's Cash & Equivalents came in at $524.96 million for Q4 2020, up 115.3% from $243.78 million a year earlier and up 17.9% from the prior quarter.
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Analysis
Happen (HAPN) Cash & Equivalents (2010 - 2020) Analysis & Trends
Going back to Q4 2012, Happen's Cash & Equivalents data covers 32 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of -5.7% (FY2015 to FY2020).
- Going back by year, Cash & Equivalents was $243.78 million in FY2019 (-34.6%), $372.97 million in FY2018 (-42.1%), $644.29 million in FY2017 (-7.1%) and $693.41 million in FY2016 (-1.5%).
- The Q4 2020 figure represents the highest quarterly Cash & Equivalents since Q1 2018.
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2020 (growth of 122.6%), and the weakest in Q3 2019 (a decline of 42.5%).
- Business Quant data shows HAPN's Cash & Equivalents at $445.18 million (Q3 2020), $338.39 million (Q2 2020) and $294.35 million (Q1 2020) in the three quarters before Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Happen | 1.71 Bn | 1.71 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 524.96 Mn |
| Sep 30, 2020 | 445.18 Mn |
| Jun 30, 2020 | 338.39 Mn |
| Mar 31, 2020 | 294.35 Mn |
| Dec 31, 2019 | 243.78 Mn |
| Sep 30, 2019 | 199.95 Mn |
| Jun 30, 2019 | 334.71 Mn |
| Mar 31, 2019 | 402.31 Mn |
| Dec 31, 2018 | 372.97 Mn |
| Sep 30, 2018 | 348.02 Mn |
| Jun 30, 2018 | 434.18 Mn |
| Mar 31, 2018 | 631.90 Mn |
| Dec 31, 2017 | 644.29 Mn |
| Sep 30, 2017 | 567.23 Mn |
| Jun 30, 2017 | 700.12 Mn |
| Mar 31, 2017 | 683.34 Mn |
| Dec 31, 2016 | 693.41 Mn |
| Sep 30, 2016 | 520.77 Mn |
| Jun 30, 2016 | 572.93 Mn |
| Mar 31, 2016 | 583.84 Mn |
API Access
Happen 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=HAPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "HAPN", "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=HAPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();