Happen (HAPN) EV to CFO (2014 - 2023)
Happen's (HAPN) EV to CFO was 6.36 for Q2 2023, up 130.4% from 2.76 a year earlier and up 268.6% from the prior quarter.
Analysis
Happen (HAPN) EV to CFO (2014 - 2023) Analysis & Trends
For FY2022, EV to CFO at Happen was 2.50, down 75.5% from FY2021.
- By year, EV to CFO came in at 10.19 in FY2021 (+949.0%) and 0.97 in FY2020.
- The Q2 2023 figure ranks as the highest quarterly EV to CFO since Q4 2021.
- Year over year, EV to CFO gained in three of the last seven quarters, with growth averaging 129.9%.
- Per Business Quant data, the three quarters before Q2 2023 came in at 1.72 (Q1 2023), 2.50 (Q4 2022) and 2.50 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 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 |
|---|---|
| Jun 30, 2023 | 6.36 |
| Mar 31, 2023 | 1.72 |
| Dec 31, 2022 | 2.50 |
| Sep 30, 2022 | 2.50 |
| Jun 30, 2022 | 2.76 |
| Mar 31, 2022 | 4.86 |
| Dec 31, 2021 | 10.19 |
| Sep 30, 2021 | 16.44 |
| Jun 30, 2021 | 3.54 |
| Mar 31, 2021 | 2.75 |
| Dec 31, 2020 | 0.97 |
| Sep 30, 2020 | -0.33 |
| Dec 31, 2016 | 17,896.43 |
| Sep 30, 2016 | 854.43 |
| Jun 30, 2016 | 149.02 |
| Mar 31, 2016 | 194.95 |
| Dec 31, 2015 | 271.27 |
| Sep 30, 2015 | 359.17 |
| Jun 30, 2015 | 547.48 |
| Mar 31, 2015 | 982.49 |
API Access
Happen EV to CFO 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=ev-to-cfo&ticker=HAPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=HAPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();