Longevity Diversified Holdings (LGVT) Change in Accured Expenses (2023 - 2026)
Longevity Diversified Holdings (LGVT) reported Change in Accured Expenses of $7,970 for fiscal Q4 2026 (quarter ended May 31, 2026), up 94.9% from the prior quarter.
Longevity Diversified Holdings (LGVT) Change in Accured Expenses (2023 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Longevity Diversified Holdings posted Change in Accured Expenses of -$22,081.
- By fiscal year, Change in Accured Expenses came in at $34,141 in FY2025, -$10,000 in FY2024 and $10,000 in FY2023.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $4,090 (Q3 2026), -$10,058 (Q2 2026) and -$24,083 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | Longevity Diversified Holdings | 3.61 Mn | 3.61 Mn | - | 7,970.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 7,970.00 |
| Feb 28, 2026 | 4,090.00 |
| Nov 30, 2025 | -10,058.00 |
| Aug 31, 2025 | -24,083.00 |
| Aug 31, 2023 | -10,000.00 |
Longevity Diversified Holdings 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=LGVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LGVT", "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=LGVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();