Houlihan Lokey (HLI) Other Operating Expenses (2014 - 2025)
Houlihan Lokey (HLI) posted Other Operating Expenses of $20.36 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 13.5% from $17.94 million a year earlier and up 21.9% from the prior quarter.
Houlihan Lokey (HLI) Other Operating Expenses (2014 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Other Operating Expenses at Houlihan Lokey was $72.92 million, down 1.2% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $69.4 million, up 6.3% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In prior fiscal years, Houlihan Lokey's Other Operating Expenses was $65.3 million in FY2024 (-3.4%), $67.62 million in FY2023 (+36.2%), $49.65 million in FY2022 (+56.9%) and $31.65 million in FY2021 (-24.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Operating Expenses since fiscal Q2 2023.
- On a year-over-year basis, Other Operating Expenses increased in six of the last eight quarters, with growth averaging 17.3%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q1 2023, with growth of 128.4%; the weakest was fiscal Q4 2023, with a decline of 42.2%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $16.7 million (Q2 2026), $20 million (Q1 2026) and $15.86 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.61 Bn | 94.70 Bn | - |
| 2 | Robinhood Markets | 91.70 Bn | 72.73 Bn | - |
| 3 | Intercontinental Exchange | 88.95 Bn | 82.69 Bn | - |
| 4 | Nasdaq | 54.22 Bn | 51.65 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 38.25 Bn | 15.37 Bn | - |
| 6 | Cboe Global Markets | 33.42 Bn | 25.08 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - |
| 8 | Tradeweb Markets | 25.45 Bn | 17.47 Bn | - |
| 9 | Circle Internet | 22.26 Bn | 16.14 Bn | 288.85 Mn |
| 10 | Houlihan Lokey | 8.59 Bn | 4.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 37.85 Mn |
| Sep 30, 2025 | 29.83 Mn |
| Jun 30, 2025 | 20.00 Mn |
| Mar 31, 2025 | 30.28 Mn |
| Dec 31, 2024 | 34.85 Mn |
| Sep 30, 2024 | 33.60 Mn |
| Jun 30, 2024 | 35.12 Mn |
| Mar 31, 2024 | 28.66 Mn |
| Dec 31, 2023 | 17.33 Mn |
| Sep 30, 2023 | 28.88 Mn |
| Jun 30, 2023 | 16.02 Mn |
| Mar 31, 2023 | 22.67 Mn |
| Dec 31, 2022 | 34.32 Mn |
| Sep 30, 2022 | 34.77 Mn |
| Jun 30, 2022 | 26.95 Mn |
| Mar 31, 2022 | 21.05 Mn |
| Dec 31, 2021 | 28.97 Mn |
| Sep 30, 2021 | 17.41 Mn |
| Jun 30, 2021 | 4.68 Mn |
| Mar 31, 2021 | 12.81 Mn |
Houlihan Lokey Other 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=other-operating-expenses&ticker=HLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();