Enhanced (ENHA) Operating Expenses (2024 - 2026)
Enhanced (ENHA) posted Operating Expenses of $79.62 million for Q2 2026, compared with $3.1 million a year earlier.
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Analysis
Enhanced (ENHA) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Enhanced was $79.69 million; for FY2025, it came in at $111,713.
- In prior years, Enhanced's Operating Expenses was $5,000 in FY2024.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q3 2024.
- According to Business Quant data, Operating Expenses for the three prior quarters was $10,625 (Q1 2026), -$114,609 (Q4 2025) and $173,657 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 187.99 Bn | 130.51 Bn | - | 5.42 Bn |
| 2 | Spdr Gold Trust | 134.28 Bn | -423.72 Bn | - | 149.76 Mn |
| 3 | Blackstone | 97.79 Bn | 87.77 Bn | - | 2.38 Bn |
| 4 | Brookfield | 95.78 Bn | -82.50 Bn | - | 14.94 Bn |
| 5 | Kkr | 88.02 Bn | 8.17 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 85.12 Bn | 79.93 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 73.65 Bn | -12.51 Bn | 4.14 Bn | 6.21 Bn |
| 8 | Wheaton Precious Metals | 63.02 Bn | 59.95 Bn | 687.86 Mn | 11.33 Mn |
| 9 | Franco Nevada | 49.29 Bn | 45.99 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Enhanced | 980.84 Mn | 934.10 Mn | - | 79.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.62 Mn |
| Mar 31, 2026 | 10,625.00 |
| Dec 31, 2025 | -114,609.00 |
| Sep 30, 2025 | 173,657.00 |
| Jun 30, 2025 | 3.10 Mn |
| Mar 31, 2025 | 600.00 |
| Dec 31, 2024 | -32,731.00 |
| Sep 30, 2024 | 29,731.00 |
API Access
Enhanced 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=ENHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ENHA", "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=ENHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();