Harvard Ave Acquisition (HAVA) Operating Expenses (2025 - 2026)
Harvard Ave Acquisition's Operating Expenses was $247,629 in Q2 2026, up 484.7% from $42,348 a year earlier and up 52.9% from the prior quarter.
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Analysis
Harvard Ave Acquisition (HAVA) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Harvard Ave Acquisition's Operating Expenses was $619,339 through Jun 30, 2026; for FY2025, it came in at $273,933, up 223.3% from FY2024.
- In earlier years, Operating Expenses was $84,721 in FY2024.
- Per Business Quant data, HAVA's Operating Expenses in the three quarters before Q2 2026 was $161,947 (Q1 2026), $177,221 (Q4 2025) and $32,542 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 174.92 Bn | 121.05 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 136.71 Bn | -421.29 Bn | - | 149.76 Mn |
| 3 | Blackstone | 88.22 Bn | 78.20 Bn | - | 2.38 Bn |
| 4 | Brookfield | 83.92 Bn | -99.40 Bn | - | 14.94 Bn |
| 5 | Kkr | 79.85 Bn | -3.72 Mn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 73.42 Bn | 68.22 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.92 Bn | -16.87 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 59.50 Bn | 54.92 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.38 Bn | 43.74 Bn | 451.00 Mn | 5.30 Mn |
| 10 | Harvard Ave Acquisition | 424.21 Mn | 424.21 Mn | - | 247,629.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 247,629.00 |
| Mar 31, 2026 | 161,947.00 |
| Dec 31, 2025 | 177,221.00 |
| Sep 30, 2025 | 32,542.00 |
| Jun 30, 2025 | 42,348.00 |
| Mar 31, 2025 | 21,822.00 |
API Access
Harvard Ave Acquisition 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=HAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HAVA", "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=HAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();