Hamilton Lane (HLNE) Change in Accured Expenses (2016 - 2026)
Hamilton Lane's Change in Accured Expenses came in at $558,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 96.4% from $15.65 million a year earlier.
Hamilton Lane (HLNE) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hamilton Lane reported Change in Accured Expenses of $20.5 million; for FY2026 (ended Mar 31, 2026), it came in at $35.6 million, up 183.0% from FY2025.
- Change in Accured Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 13.8% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was $12.58 million in FY2025 (+6.7%), $11.79 million in FY2024 (+189.5%), $4.07 million in FY2023 and -$9.3 million in FY2022.
- The five-year range for quarterly Change in Accured Expenses is -$41.57 million (fiscal Q4 2023) to $32.26 million (fiscal Q1 2025).
- Year-over-year, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 71.5%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q1 2023 (growth of 667.8%), and the weakest in fiscal Q1 2027 (a decline of 96.4%).
- Business Quant data shows HLNE's Change in Accured Expenses at -$17.18 million (Q4 2026), $17.08 million (Q3 2026) and $20.05 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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 | Hamilton Lane | 4.80 Bn | 4.18 Bn | - | 558,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558,000.00 |
| Mar 31, 2026 | -17.18 Mn |
| Dec 31, 2025 | 17.08 Mn |
| Sep 30, 2025 | 20.05 Mn |
| Jun 30, 2025 | 15.65 Mn |
| Mar 31, 2025 | -29.22 Mn |
| Dec 31, 2024 | 6.34 Mn |
| Sep 30, 2024 | 3.20 Mn |
| Jun 30, 2024 | 32.26 Mn |
| Mar 31, 2024 | -22.07 Mn |
| Dec 31, 2023 | 10.90 Mn |
| Sep 30, 2023 | 14.63 Mn |
| Jun 30, 2023 | 8.34 Mn |
| Mar 31, 2023 | -41.57 Mn |
| Dec 31, 2022 | 1.55 Mn |
| Sep 30, 2022 | 27.29 Mn |
| Jun 30, 2022 | 16.81 Mn |
| Mar 31, 2022 | -28.17 Mn |
| Dec 31, 2021 | 7.45 Mn |
| Sep 30, 2021 | 9.23 Mn |
Hamilton Lane 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=HLNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "HLNE", "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=HLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();