Houlihan Lokey (HLI) Operating Income (2014 - 2026)
Houlihan Lokey (HLI) reported Operating Income of $154 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 2.0% from $151 million a year earlier and up 97.4% from the prior quarter.
Houlihan Lokey (HLI) Operating Income (2014 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Houlihan Lokey's Operating Income came in at $517.88 million, down 0.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $527.02 million, up 4.9% from FY2025.
- Operating Income has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- By fiscal year, Operating Income came in at $502.57 million in FY2025 (+34.7%), $373.23 million in FY2024 (+9.2%), $341.74 million in FY2023 (-44.2%) and $612.86 million in FY2022 (+50.2%).
- Five-year quarterly Operating Income spans a low of $73.35 million in fiscal Q1 2024 and a high of $249.26 million in fiscal Q3 2022.
- Year over year, Operating Income gained in five of the last eight quarters, with growth averaging 9.0%.
- The high point for year-over-year Operating Income in five years was fiscal Q3 2022 (growth of 57.3%); the low point was fiscal Q3 2023 (a decline of 66.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $78 million (Q1 2027), $125.15 million (Q4 2026) and $160.73 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 1.14 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | - |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.41 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | - |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 732.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 534.30 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | - |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | - |
| 10 | Houlihan Lokey | 9.82 Bn | 5.99 Bn | - | 154.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 154.00 Mn |
| Jun 30, 2026 | 78.00 Mn |
| Mar 31, 2026 | 125.15 Mn |
| Dec 31, 2025 | 160.73 Mn |
| Sep 30, 2025 | 151.00 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 |
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();