Houlihan Lokey (HLI) Cash & Equivalents (2014 - 2026)
Houlihan Lokey (HLI) recorded Cash & Equivalents of $1.19 billion in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 22.5% from $971.01 million a year earlier and up 12.5% from the prior quarter.
Houlihan Lokey (HLI) Cash & Equivalents (2014 - 2026) Analysis & Trends
Starting with fiscal Q2 2015, Houlihan Lokey's Cash & Equivalents history includes 47 quarters.
- Annual Cash & Equivalents has increased for three straight fiscal years, with a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $971.01 million in FY2025 (+34.6%), $721.24 million in FY2024 (+1.0%), $714.44 million in FY2023 (-14.3%) and $833.7 million in FY2022 (-1.6%).
- The fiscal Q4 2026 figure is the highest quarterly Cash & Equivalents in data going back to fiscal Q2 2015.
- On a year-over-year basis, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 35.2% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 118.7% in fiscal Q2 2022, against a decline of 48.1% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.06 billion (Q3 2026), $923.58 million (Q2 2026) and $793.82 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 2.20 Bn |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | - |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 1.07 Bn |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 5.36 Bn |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 365.00 Mn |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | - |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | 7.71 Bn |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 2.28 Bn |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | - |
| 10 | Houlihan Lokey | 9.13 Bn | 5.28 Bn | - | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.19 Bn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 923.58 Mn |
| Jun 30, 2025 | 793.82 Mn |
| Mar 31, 2025 | 971.01 Mn |
| Dec 31, 2024 | 799.34 Mn |
| Sep 30, 2024 | 691.41 Mn |
| Jun 30, 2024 | 449.70 Mn |
| Mar 31, 2024 | 721.24 Mn |
| Dec 31, 2023 | 555.53 Mn |
| Sep 30, 2023 | 493.93 Mn |
| Jun 30, 2023 | 456.12 Mn |
| Mar 31, 2023 | 714.44 Mn |
| Dec 31, 2022 | 549.42 Mn |
| Sep 30, 2022 | 503.81 Mn |
| Jun 30, 2022 | 488.95 Mn |
| Mar 31, 2022 | 833.70 Mn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 923.01 Mn |
| Jun 30, 2021 | 782.19 Mn |
Houlihan Lokey Cash & Equivalents 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=cash-and-equivalents&ticker=HLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();