Happen (HAPN) Provisions (2010 - 2026)
Happen's Provisions was -$10.92 million in Q2 2026, compared with $40.6 million a year earlier.
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Analysis
Happen (HAPN) Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Happen's Provisions was $83.37 million through Jun 30, 2026, down 60.2% year-over-year; for FY2025, it was $191.32 million, up 7.3% from FY2024.
- Provisions shows a five-year compound annual growth rate of 124.1% (FY2020 to FY2025).
- In earlier years, Provisions was $178.27 million in FY2024 (-26.8%), $243.57 million in FY2023 (-8.9%), $267.33 million in FY2022 (+89.7%) and $140.95 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Provisions in data going back to Q1 2020.
- Compared with a year earlier, Provisions was higher in three of the last seven quarters, with an average decline of 1.3%.
- The best year-over-year quarter for Provisions over five years was Q1 2022 (growth of 122.9%); the worst was Q1 2026 (a decline of 98.5%).
- Per Business Quant data, HAPN's Provisions in the three quarters before Q2 2026 was $846,000 (Q1 2026), $47.16 million (Q4 2025) and $46.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | Happen | 1.71 Bn | 1.71 Bn | - | -10.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.92 Mn |
| Mar 31, 2026 | 846,000.00 |
| Dec 31, 2025 | 47.16 Mn |
| Sep 30, 2025 | 46.28 Mn |
| Jun 30, 2025 | 40.60 Mn |
| Mar 31, 2025 | 58.15 Mn |
| Dec 31, 2024 | 63.24 Mn |
| Sep 30, 2024 | 47.54 Mn |
| Jun 30, 2024 | 36.58 Mn |
| Mar 31, 2024 | 31.93 Mn |
| Dec 31, 2023 | 41.91 Mn |
| Sep 30, 2023 | 64.48 Mn |
| Jun 30, 2023 | 66.60 Mn |
| Mar 31, 2023 | 70.85 Mn |
| Dec 31, 2022 | 62.45 Mn |
| Sep 30, 2022 | 82.74 Mn |
| Jun 30, 2022 | 70.57 Mn |
| Mar 31, 2022 | 52.51 Mn |
| Dec 31, 2021 | 43.14 Mn |
| Sep 30, 2021 | 37.52 Mn |
API Access
Happen Provisions 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=provisions&ticker=HAPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=HAPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();