Happen (HAPN) Shares Outstanding (2010 - 2026)
Happen (HAPN) posted Shares Outstanding of 115.38 million for Q2 2026, up 0.8% from 114.41 million a year earlier and unchanged from the prior quarter.
Analysis
Happen (HAPN) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Happen's Shares Outstanding came in at 114.61 million, up 2.6% from FY2024.
- Annual Shares Outstanding has increased for five consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Happen's Shares Outstanding was 111.73 million in FY2024 (+3.0%), 108.47 million in FY2023 (+4.8%), 103.55 million in FY2022 (+5.5%) and 98.14 million in FY2021 (+25.9%).
- Quarterly Shares Outstanding has run from a low of 98.14 million in Q4 2021 to a high of 115.4 million in Q1 2026 over five years.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 22 quarters, with growth averaging 2.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.8% (Q2 2026) to 34.7% (Q3 2021).
- According to Business Quant data, Shares Outstanding for the three prior quarters was 115.4 million (Q1 2026), 114.61 million (Q4 2025) and 114.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 3.04 Bn |
| 10 | Happen | 1.72 Bn | 1.72 Bn | - | 115.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.38 Mn |
| Mar 31, 2026 | 115.40 Mn |
| Dec 31, 2025 | 114.61 Mn |
| Sep 30, 2025 | 114.96 Mn |
| Jun 30, 2025 | 114.41 Mn |
| Mar 31, 2025 | 113.69 Mn |
| Dec 31, 2024 | 111.73 Mn |
| Sep 30, 2024 | 112.04 Mn |
| Jun 30, 2024 | 111.40 Mn |
| Mar 31, 2024 | 110.69 Mn |
| Dec 31, 2023 | 108.47 Mn |
| Sep 30, 2023 | 109.07 Mn |
| Jun 30, 2023 | 107.89 Mn |
| Mar 31, 2023 | 106.91 Mn |
| Dec 31, 2022 | 103.55 Mn |
| Sep 30, 2022 | 104.22 Mn |
| Jun 30, 2022 | 102.78 Mn |
| Mar 31, 2022 | 101.49 Mn |
| Dec 31, 2021 | 98.14 Mn |
| Sep 30, 2021 | 99.07 Mn |
API Access
Happen Shares Outstanding 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&ticker=HAPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=HAPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();