Happen (HAPN) Operating Expenses (2010 - 2026)
Happen (HAPN) reported Operating Expenses of $198.12 million for Q2 2026, up 28.0% from $154.72 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Happen (HAPN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Happen's Operating Expenses came in at $714.65 million, up 23.7% year-over-year; for FY2025, it was $630.58 million, up 16.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $543.68 million in FY2024 (-4.0%), $566.44 million in FY2023 (-26.1%), $766.85 million in FY2022 (+15.9%) and $661.39 million in FY2021 (+31.7%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2022.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 17.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 82.9%); the low point was Q3 2023 (a decline of 31.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $184.53 million (Q1 2026), $169.28 million (Q4 2025) and $162.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Happen | 1.72 Bn | 1.72 Bn | - | 198.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.12 Mn |
| Mar 31, 2026 | 184.53 Mn |
| Dec 31, 2025 | 169.28 Mn |
| Sep 30, 2025 | 162.71 Mn |
| Jun 30, 2025 | 154.72 Mn |
| Mar 31, 2025 | 143.87 Mn |
| Dec 31, 2024 | 142.86 Mn |
| Sep 30, 2024 | 136.33 Mn |
| Jun 30, 2024 | 132.26 Mn |
| Mar 31, 2024 | 132.23 Mn |
| Dec 31, 2023 | 130.02 Mn |
| Sep 30, 2023 | 128.04 Mn |
| Jun 30, 2023 | 151.08 Mn |
| Mar 31, 2023 | 157.31 Mn |
| Dec 31, 2022 | 180.04 Mn |
| Sep 30, 2022 | 186.22 Mn |
| Jun 30, 2022 | 209.39 Mn |
| Mar 31, 2022 | 191.20 Mn |
| Dec 31, 2021 | 188.22 Mn |
| Sep 30, 2021 | 178.78 Mn |
API Access
Happen Operating Expenses 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=operating-expenses&ticker=HAPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HAPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();