Harvard Ave Acquisition (HAVA) Change in Accured Expenses (2025 - 2026)
Harvard Ave Acquisition (HAVA) reported Change in Accured Expenses of $121,765 for Q2 2026, up 195.5% from $41,200 a year earlier and up 122.7% from the prior quarter.
Harvard Ave Acquisition (HAVA) Change in Accured Expenses (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Harvard Ave Acquisition's Change in Accured Expenses came in at $196,680; for FY2025, it came in at $28,762, down 12.0% from FY2024.
- By year, Change in Accured Expenses came in at $32,675 in FY2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $54,678 (Q1 2026), $55,940 (Q4 2025) and -$35,703 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 845.00 Mn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | -244.18 Mn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 834.56 Mn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | - |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | -10.40 Mn |
| 10 | Harvard Ave Acquisition | 423.80 Mn | 423.80 Mn | - | 121,765.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121,765.00 |
| Mar 31, 2026 | 54,678.00 |
| Dec 31, 2025 | 55,940.00 |
| Sep 30, 2025 | -35,703.00 |
| Jun 30, 2025 | 41,200.00 |
| Mar 31, 2025 | -32,675.00 |
Harvard Ave Acquisition Change in Accured 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=change-in-accured-expenses&ticker=HAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();