Houlihan Lokey (HLI) Tax Provisions (2014 - 2026)
Houlihan Lokey (HLI) reported Tax Provisions of $49 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), unchanged from $49 million a year earlier and up 512.5% from the prior quarter.
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Analysis
Houlihan Lokey (HLI) Tax Provisions (2014 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Houlihan Lokey's Tax Provisions came in at $146.3 million, up 15.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $138.09 million, up 4.9% from FY2025.
- Tax Provisions has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $131.62 million in FY2025 (+19.4%), $110.24 million in FY2024 (+58.0%), $69.78 million in FY2023 (-57.9%) and $165.61 million in FY2022 (+71.7%).
- Five-year quarterly Tax Provisions spans a low of $5.04 million in fiscal Q1 2023 and a high of $74.7 million in fiscal Q3 2022.
- Year over year, Tax Provisions gained in four of the last six quarters, with growth averaging 13.8%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q1 2024 (growth of 196.9%); the low point was fiscal Q1 2023 (a decline of 76.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $8 million (Q1 2027), $36.2 million (Q4 2026) and $53.1 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 317.90 Mn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 499.00 Mn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 286.00 Mn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 149.00 Mn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 162.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 298.00 Mn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 126.30 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 148.00 Mn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 153.60 Mn |
| 10 | Houlihan Lokey | 9.82 Bn | 5.99 Bn | - | 49.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.00 Mn |
| Jun 30, 2026 | 8.00 Mn |
| Mar 31, 2026 | 36.20 Mn |
| Dec 31, 2025 | 53.10 Mn |
| Sep 30, 2025 | 49.00 Mn |
| Mar 31, 2025 | 28.34 Mn |
| Dec 31, 2024 | 49.82 Mn |
| Sep 30, 2024 | 42.54 Mn |
| Jun 30, 2024 | 10.93 Mn |
| Mar 31, 2024 | 36.96 Mn |
| Dec 31, 2023 | 31.77 Mn |
| Sep 30, 2023 | 26.54 Mn |
| Jun 30, 2023 | 14.96 Mn |
| Mar 31, 2023 | 20.64 Mn |
| Dec 31, 2022 | 20.56 Mn |
| Sep 30, 2022 | 23.54 Mn |
| Jun 30, 2022 | 5.04 Mn |
| Mar 31, 2022 | 25.52 Mn |
| Dec 31, 2021 | 74.70 Mn |
| Sep 30, 2021 | 43.58 Mn |
API Access
Houlihan Lokey Tax Provisions 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=tax-provisions&ticker=HLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();