Houlihan Lokey (HLI) Property, Plant & Equipment (Net) (2015 - 2026)
Houlihan Lokey's Property, Plant & Equipment (Net) was $143 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), down 4.3% from $149.35 million a year earlier but up 1.1% from the prior quarter.
Houlihan Lokey (HLI) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
From fiscal Q4 2015 onward, Houlihan Lokey has reported Property, Plant & Equipment (Net) for 44 quarters.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 25.3% (FY2021 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $149.35 million in FY2025 (+9.3%), $136.7 million in FY2024 (+54.7%), $88.35 million in FY2023 (+69.3%) and $52.18 million in FY2022 (+12.5%).
- Quarterly Property, Plant & Equipment (Net) has moved between $43.3 million (fiscal Q2 2022) and $150.62 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in six of the last eight quarters, with growth averaging 10.3%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q2 2024 (growth of 91.9%); the worst was fiscal Q4 2026 (a decline of 4.3%).
- Per Business Quant data, HLI's Property, Plant & Equipment (Net) in the three fiscal quarters before Q4 2026 was $141.43 million (Q3 2026), $145.19 million (Q2 2026) and $150.62 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 338.70 Mn |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 3.91 Bn |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 2.88 Bn |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 177.00 Mn |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 767.00 Mn |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | - |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | - |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 136.70 Mn |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 447.60 Mn |
| 10 | Houlihan Lokey | 9.13 Bn | 5.28 Bn | - | 143.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 143.00 Mn |
| Dec 31, 2025 | 141.43 Mn |
| Sep 30, 2025 | 145.19 Mn |
| Jun 30, 2025 | 150.62 Mn |
| Mar 31, 2025 | 149.35 Mn |
| Dec 31, 2024 | 140.11 Mn |
| Sep 30, 2024 | 148.73 Mn |
| Jun 30, 2024 | 143.37 Mn |
| Mar 31, 2024 | 136.70 Mn |
| Dec 31, 2023 | 130.70 Mn |
| Sep 30, 2023 | 119.39 Mn |
| Jun 30, 2023 | 101.15 Mn |
| Mar 31, 2023 | 88.35 Mn |
| Dec 31, 2022 | 75.62 Mn |
| Sep 30, 2022 | 62.21 Mn |
| Jun 30, 2022 | 52.96 Mn |
| Mar 31, 2022 | 52.18 Mn |
| Dec 31, 2021 | 51.75 Mn |
| Sep 30, 2021 | 43.30 Mn |
| Jun 30, 2021 | 45.07 Mn |
Houlihan Lokey Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=HLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();