Houlihan Lokey (HLI) EBITDA (2014 - 2025)
Houlihan Lokey (HLI) recorded EBITDA of $169.03 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), up 16.0% from $145.66 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Houlihan Lokey (HLI) EBITDA (2014 - 2025) Analysis & Trends
On a TTM basis, Houlihan Lokey's EBITDA came in at $592.1 million as of Dec 31, 2025, up 18.8% year-over-year; for FY2025 (ended Mar 31, 2025), it was $542.81 million, up 38.7% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $391.4 million in FY2024 (-2.1%), $399.96 million in FY2023 (-39.5%), $661.4 million in FY2022 (+56.2%) and $423.39 million in FY2021 (+71.5%).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA since fiscal Q3 2022.
- On a year-over-year basis, EBITDA has increased for nine consecutive quarters, with growth averaging 25.3% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 141.8% in fiscal Q1 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 $161.63 million (Q2 2026), $106 million (Q1 2026) and $155.44 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.92 Bn | 95.02 Bn | - | 1.19 Bn |
| 2 | Intercontinental Exchange | 88.77 Bn | 82.50 Bn | - | 1.78 Bn |
| 3 | Robinhood Markets | 88.72 Bn | 69.76 Bn | - | 891.00 Mn |
| 4 | Nasdaq | 53.15 Bn | 50.58 Bn | 1.50 Bn | 877.00 Mn |
| 5 | Interactive Brokers | 36.90 Bn | 14.01 Bn | - | 2.65 Bn |
| 6 | Cboe Global Markets | 32.84 Bn | 24.50 Bn | 731.60 Mn | 504.10 Mn |
| 7 | LPL Financial Holdings | 25.80 Bn | 21.12 Bn | - | 801.19 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 306.75 Mn |
| 9 | Circle Internet | 21.14 Bn | 15.02 Bn | 288.85 Mn | 64.26 Mn |
| 10 | Houlihan Lokey | 8.74 Bn | 4.78 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 169.03 Mn |
| Sep 30, 2025 | 161.63 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 |
| Sep 30, 2021 | 161.66 Mn |
| Jun 30, 2021 | 111.85 Mn |
| Mar 31, 2021 | 144.21 Mn |
API Access
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_KEYimport 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();