Houlihan Lokey (HLI) Change in Accured Expenses (2014 - 2025)
Houlihan Lokey's Change in Accured Expenses came in at $58.07 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 11.5% from $65.59 million a year earlier and down 68.1% from the prior quarter.
Houlihan Lokey (HLI) Change in Accured Expenses (2014 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Houlihan Lokey reported Change in Accured Expenses of $175.21 million, up 33.8% year-over-year; for FY2025 (ended Mar 31, 2025), it was $210.25 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of 79.3% (FY2020 to FY2025).
- Going back by fiscal year, Change in Accured Expenses was -$42.27 million in FY2024, -$189.53 million in FY2023, $150.72 million in FY2022 (-34.1%) and $228.55 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$375.62 million (fiscal Q1 2023) to $254.61 million (fiscal Q3 2022).
- Year-over-year, Change in Accured Expenses increased in five of the last six quarters, with growth averaging 69.0%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q3 2025 (growth of 237.8%), and the weakest in fiscal Q2 2023 (a decline of 40.2%).
- Business Quant data shows HLI's Change in Accured Expenses at $182.27 million (Q2 2026), -$294 million (Q1 2026) and $228.88 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.29 Bn | 98.39 Bn | - | -70.30 Mn |
| 2 | Intercontinental Exchange | 91.73 Bn | 85.47 Bn | - | -77.00 Mn |
| 3 | Robinhood Markets | 85.57 Bn | 66.60 Bn | - | 67.00 Mn |
| 4 | Nasdaq | 57.08 Bn | 54.52 Bn | 1.48 Bn | 79.00 Mn |
| 5 | Interactive Brokers | 36.00 Bn | 13.12 Bn | - | 364.00 Mn |
| 6 | Cboe Global Markets | 35.61 Bn | 27.26 Bn | 731.60 Mn | 69.70 Mn |
| 7 | Tradeweb Markets | 26.02 Bn | 18.03 Bn | - | 49.37 Mn |
| 8 | LPL Financial Holdings | 25.19 Bn | 20.51 Bn | - | 55.29 Mn |
| 9 | Circle Internet | 21.29 Bn | 15.17 Bn | 288.85 Mn | 133.37 Mn |
| 10 | Houlihan Lokey | 8.74 Bn | 4.77 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 58.07 Mn |
| Sep 30, 2025 | 182.27 Mn |
| Jun 30, 2025 | -294.00 Mn |
| Mar 31, 2025 | 228.88 Mn |
| Dec 31, 2024 | 65.59 Mn |
| Sep 30, 2024 | 149.93 Mn |
| Jun 30, 2024 | -234.14 Mn |
| Mar 31, 2024 | 149.55 Mn |
| Dec 31, 2023 | 19.42 Mn |
| Sep 30, 2023 | 78.07 Mn |
| Jun 30, 2023 | -289.30 Mn |
| Mar 31, 2023 | 123.35 Mn |
| Dec 31, 2022 | -48.16 Mn |
| Sep 30, 2022 | 110.89 Mn |
| Jun 30, 2022 | -375.62 Mn |
| Mar 31, 2022 | -34.34 Mn |
| Dec 31, 2021 | 254.61 Mn |
| Sep 30, 2021 | 185.31 Mn |
| Jun 30, 2021 | -254.85 Mn |
| Mar 31, 2021 | 210.45 Mn |
Houlihan Lokey 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=HLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "HLI", "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=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();