Houlihan Lokey (HLI) EBITDA (2014 - 2026)
Houlihan Lokey (HLI) recorded EBITDA of $164 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 1.9% from $161 million a year earlier and up 90.7% from the prior quarter.
Houlihan Lokey (HLI) EBITDA (2014 - 2026) Analysis & Trends
On a TTM basis, Houlihan Lokey's EBITDA came in at $552.51 million as of Sep 30, 2026, down 2.9% year-over-year; for FY2026 (ended Mar 31, 2026), it was $569.65 million, up 4.7% from FY2025.
- Annual EBITDA has increased for three straight fiscal years, with a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $543.84 million in FY2025 (+35.4%), $401.77 million in FY2024 (+0.5%), $399.96 million in FY2023 (-39.5%) and $661.4 million in FY2022 (+56.2%).
- Quarterly EBITDA has ranged from $79.88 million in fiscal Q1 2024 to $269.33 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 9.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 65.9% in fiscal Q3 2022, against a decline of 63.8% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $86 million (Q1 2027), $133.19 million (Q4 2026) and $169.32 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 1.22 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 6.85 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.81 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 860.00 Mn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 897.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 3.67 Bn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 562.00 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 2.79 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 2.40 Bn |
| 10 | Houlihan Lokey | 9.82 Bn | 5.99 Bn | - | 164.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 164.00 Mn |
| Jun 30, 2026 | 86.00 Mn |
| Mar 31, 2026 | 133.19 Mn |
| Dec 31, 2025 | 169.32 Mn |
| Sep 30, 2025 | 161.00 Mn |
| Jun 30, 2025 | 106.00 Mn |
| Mar 31, 2025 | 155.44 Mn |
| Dec 31, 2024 | 145.66 Mn |
| Sep 30, 2024 | 138.11 Mn |
| Jun 30, 2024 | 103.60 Mn |
| Mar 31, 2024 | 110.96 Mn |
| Dec 31, 2023 | 103.20 Mn |
| Sep 30, 2023 | 97.36 Mn |
| Jun 30, 2023 | 79.88 Mn |
| Mar 31, 2023 | 96.97 Mn |
| Dec 31, 2022 | 97.43 Mn |
| Sep 30, 2022 | 108.85 Mn |
| Jun 30, 2022 | 96.71 Mn |
| Mar 31, 2022 | 118.56 Mn |
| Dec 31, 2021 | 269.33 Mn |
Houlihan Lokey EBITDA 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=ebitda&ticker=HLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();