Happen (HAPN) Wages, Salaries and Other (2020 - 2026)
Happen's Wages, Salaries and Other came in at $68.22 million for Q2 2026, up 10.1% from $61.99 million a year earlier and up 4.1% from the prior quarter.
Happen (HAPN) Wages, Salaries and Other (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Happen reported Wages, Salaries and Other of $255.2 million, up 7.9% year-over-year; for FY2025, it was $241.85 million, up 4.2% from FY2024.
- Wages, Salaries and Other carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Wages, Salaries and Other was $232.16 million in FY2024 (-11.4%), $261.95 million in FY2023 (-22.8%), $339.4 million in FY2022 (+17.7%) and $288.39 million in FY2021 (+14.2%).
- The Q2 2026 figure represents the highest quarterly Wages, Salaries and Other since Q2 2023.
- Year-over-year, Wages, Salaries and Other has increased for five consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- The fastest year-over-year change in Wages, Salaries and Other over five years came in Q4 2021 (growth of 49.9%), and the weakest in Q4 2023 (a decline of 33.2%).
- Business Quant data shows HAPN's Wages, Salaries and Other at $65.51 million (Q1 2026), $60.64 million (Q4 2025) and $60.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 8.85 Bn |
| 10 | Happen | 1.78 Bn | 1.78 Bn | - | 68.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.22 Mn |
| Mar 31, 2026 | 65.51 Mn |
| Dec 31, 2025 | 60.64 Mn |
| Sep 30, 2025 | 60.83 Mn |
| Jun 30, 2025 | 61.99 Mn |
| Mar 31, 2025 | 58.39 Mn |
| Dec 31, 2024 | 58.66 Mn |
| Sep 30, 2024 | 57.41 Mn |
| Jun 30, 2024 | 56.54 Mn |
| Mar 31, 2024 | 59.55 Mn |
| Dec 31, 2023 | 58.59 Mn |
| Sep 30, 2023 | 58.50 Mn |
| Jun 30, 2023 | 71.55 Mn |
| Mar 31, 2023 | 73.31 Mn |
| Dec 31, 2022 | 87.77 Mn |
| Sep 30, 2022 | 84.92 Mn |
| Jun 30, 2022 | 85.10 Mn |
| Mar 31, 2022 | 81.61 Mn |
| Dec 31, 2021 | 78.74 Mn |
| Sep 30, 2021 | 73.30 Mn |
Happen Wages, Salaries and Other 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=wages-salaries-and-other&ticker=HAPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=HAPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();