Happen (HAPN) Shares Outstanding (Diluted) (2012 - 2026)
Happen (HAPN) reported Shares Outstanding (Diluted) of 117.27 million for Q2 2026, up 1.4% from 115.69 million a year earlier but down 0.1% from the prior quarter.
Happen (HAPN) Shares Outstanding (Diluted) (2012 - 2026) Analysis & Trends
For FY2025, Happen posted Shares Outstanding (Diluted) of 117.23 million, up 3.6% from FY2024.
- Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 113.12 million in FY2024 (+4.3%), 108.47 million in FY2023 (+4.3%), 104 million in FY2022 (+1.8%) and 102.15 million in FY2021 (+31.1%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 102.15 million in Q4 2021 and a high of 118.19 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 15 quarters, with growth averaging 3.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 31.1%); the low point was Q3 2022 (a decline of 0.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 117.33 million (Q1 2026), 117.23 million (Q4 2025) and 118.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Happen | 1.71 Bn | 1.71 Bn | - | 117.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.27 Mn |
| Mar 31, 2026 | 117.33 Mn |
| Dec 31, 2025 | 117.23 Mn |
| Sep 30, 2025 | 118.19 Mn |
| Jun 30, 2025 | 115.69 Mn |
| Mar 31, 2025 | 116.18 Mn |
| Dec 31, 2024 | 113.12 Mn |
| Sep 30, 2024 | 113.92 Mn |
| Jun 30, 2024 | 111.47 Mn |
| Mar 31, 2024 | 110.69 Mn |
| Dec 31, 2023 | 108.47 Mn |
| Sep 30, 2023 | 109.07 Mn |
| Jun 30, 2023 | 107.90 Mn |
| Mar 31, 2023 | 106.92 Mn |
| Dec 31, 2022 | 104.00 Mn |
| Sep 30, 2022 | 105.85 Mn |
| Jun 30, 2022 | 105.04 Mn |
| Mar 31, 2022 | 105.05 Mn |
| Dec 31, 2021 | 102.15 Mn |
| Sep 30, 2021 | 106.11 Mn |
Happen Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=HAPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=HAPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();