Houlihan Lokey (HLI) Receivables (2015 - 2026)
Houlihan Lokey's Receivables came in at $285 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 13.5% from $251.16 million a year earlier and up 27.2% from the prior quarter.
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Analysis
Houlihan Lokey (HLI) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Houlihan Lokey's Receivables was $271 million, up 5.3% from FY2025.
- Receivables has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 16.7% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $257.33 million in FY2025 (+28.9%), $199.63 million in FY2024 (+9.7%), $182.03 million in FY2023 (+13.0%) and $161.13 million in FY2022 (+28.8%).
- The fiscal Q2 2027 figure represents the highest quarterly Receivables in data going back to fiscal Q4 2015.
- Year-over-year, Receivables has increased for 11 consecutive quarters, with growth averaging 14.2% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q3 2022 (growth of 119.7%), and the weakest in fiscal Q3 2023 (a decline of 21.6%).
- Business Quant data shows HLI's Receivables at $224 million (Q1 2027), $271 million (Q4 2026) and $210.88 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 788.10 Mn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 5.30 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.88 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 23.60 Bn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 1.17 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 764.00 Mn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 500.10 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 111.29 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | - |
| 10 | Houlihan Lokey | 9.82 Bn | 5.99 Bn | - | 285.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 285.00 Mn |
| Jun 30, 2026 | 224.00 Mn |
| Mar 31, 2026 | 271.00 Mn |
| Dec 31, 2025 | 210.88 Mn |
| Sep 30, 2025 | 251.16 Mn |
| Jun 30, 2025 | 218.18 Mn |
| Mar 31, 2025 | 257.33 Mn |
| Dec 31, 2024 | 166.69 Mn |
| Sep 30, 2024 | 219.13 Mn |
| Jun 30, 2024 | 192.59 Mn |
| Mar 31, 2024 | 199.63 Mn |
| Dec 31, 2023 | 152.76 Mn |
| Sep 30, 2023 | 152.24 Mn |
| Jun 30, 2023 | 137.55 Mn |
| Mar 31, 2023 | 182.03 Mn |
| Dec 31, 2022 | 165.24 Mn |
| Sep 30, 2022 | 158.64 Mn |
| Jun 30, 2022 | 142.94 Mn |
| Mar 31, 2022 | 161.13 Mn |
| Dec 31, 2021 | 210.68 Mn |
API Access
Houlihan Lokey Receivables 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=receivables&ticker=HLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();