Houlihan Lokey (HLI) Operating Income (2014 - 2025)
Houlihan Lokey (HLI) reported Operating Income of $160.73 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 18.1% from $136.1 million a year earlier and up 6.2% from the prior quarter.
Houlihan Lokey (HLI) Operating Income (2014 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Houlihan Lokey's Operating Income came in at $542.1 million, up 16.8% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $501.54 million, up 38.2% from FY2024.
- Operating Income has a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- By fiscal year, Operating Income came in at $362.86 million in FY2024 (+6.2%), $341.74 million in FY2023 (-44.2%), $612.86 million in FY2022 (+50.2%) and $408.16 million in FY2021 (+77.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Income since fiscal Q3 2022.
- Year over year, Operating Income gained in seven of the last eight quarters, with growth averaging 24.2%.
- The high point for year-over-year Operating Income in five years was fiscal Q1 2022 (growth of 152.8%); the low point was fiscal Q3 2023 (a decline of 66.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $151.34 million (Q2 2026), $90 million (Q1 2026) and $140.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.45 Bn | 94.55 Bn | - | 1.11 Bn |
| 2 | Robinhood Markets | 88.81 Bn | 69.85 Bn | - | - |
| 3 | Intercontinental Exchange | 88.51 Bn | 82.25 Bn | - | 1.39 Bn |
| 4 | Nasdaq | 53.17 Bn | 50.59 Bn | 1.50 Bn | 712.00 Mn |
| 5 | Interactive Brokers | 36.95 Bn | 14.06 Bn | - | - |
| 6 | Cboe Global Markets | 32.84 Bn | 24.49 Bn | 731.60 Mn | 476.00 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | - |
| 8 | Tradeweb Markets | 25.37 Bn | 17.38 Bn | - | 245.26 Mn |
| 9 | Circle Internet | 21.22 Bn | 15.10 Bn | 288.85 Mn | 34.36 Mn |
| 10 | Houlihan Lokey | 8.69 Bn | 4.73 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 160.73 Mn |
| Sep 30, 2025 | 151.34 Mn |
| Jun 30, 2025 | 90.00 Mn |
| Mar 31, 2025 | 140.03 Mn |
| Dec 31, 2024 | 136.10 Mn |
| Sep 30, 2024 | 130.67 Mn |
| Jun 30, 2024 | 94.74 Mn |
| Mar 31, 2024 | 102.70 Mn |
| Dec 31, 2023 | 96.54 Mn |
| Sep 30, 2023 | 90.28 Mn |
| Jun 30, 2023 | 73.35 Mn |
| Mar 31, 2023 | 90.62 Mn |
| Dec 31, 2022 | 84.17 Mn |
| Sep 30, 2022 | 89.37 Mn |
| Jun 30, 2022 | 77.57 Mn |
| Mar 31, 2022 | 98.61 Mn |
| Dec 31, 2021 | 249.26 Mn |
| Sep 30, 2021 | 157.32 Mn |
| Jun 30, 2021 | 107.68 Mn |
| Mar 31, 2021 | 140.28 Mn |
Houlihan Lokey Operating Income 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=operating-income&ticker=HLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();