Houlihan Lokey (HLI) Total Liabilities (2015 - 2026)
Houlihan Lokey's Total Liabilities came in at $1.67 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 7.9% from $1.55 billion a year earlier and up 14.1% from the prior quarter.
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Analysis
Houlihan Lokey (HLI) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Houlihan Lokey's Total Liabilities was $1.97 billion, up 19.6% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 13.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.64 billion in FY2025 (+23.3%), $1.33 billion in FY2024 (-1.6%), $1.36 billion in FY2023 (-6.1%) and $1.44 billion in FY2022 (+38.4%).
- The five-year range for quarterly Total Liabilities is $1.02 billion (fiscal Q1 2023) to $1.97 billion (fiscal Q4 2026).
- Year-over-year, Total Liabilities has increased for ten consecutive quarters, with growth averaging 17.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2022 (growth of 98.1%), and the weakest in fiscal Q3 2023 (a decline of 25.4%).
- Business Quant data shows HLI's Total Liabilities at $1.46 billion (Q1 2027), $1.97 billion (Q4 2026) and $1.64 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 165.53 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 449.94 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 147.08 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 48.19 Bn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 15.38 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 5.30 Bn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 219.98 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 153.91 Bn |
| 10 | Houlihan Lokey | 9.82 Bn | 5.99 Bn | - | 1.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.67 Bn |
| Jun 30, 2026 | 1.46 Bn |
| Mar 31, 2026 | 1.97 Bn |
| Dec 31, 2025 | 1.64 Bn |
| Sep 30, 2025 | 1.55 Bn |
| Jun 30, 2025 | 1.34 Bn |
| Mar 31, 2025 | 1.64 Bn |
| Dec 31, 2024 | 1.40 Bn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.11 Bn |
| Mar 31, 2024 | 1.33 Bn |
| Dec 31, 2023 | 1.19 Bn |
| Sep 30, 2023 | 1.14 Bn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | 1.36 Bn |
| Dec 31, 2022 | 1.13 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 1.44 Bn |
| Dec 31, 2021 | 1.52 Bn |
API Access
Houlihan Lokey Total Liabilities 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=total-liabilities&ticker=HLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();