Houlihan Lokey (HLI) Depreciation and Depletion (2014 - 2026)
Houlihan Lokey (HLI) posted Depreciation and Depletion of $7 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), unchanged from $7 million a year earlier and up 16.7% from the prior quarter.
Houlihan Lokey (HLI) Depreciation and Depletion (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation and Depletion at Houlihan Lokey was $26.33 million, up 4.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $27.55 million, up 25.6% from FY2025.
- Annual Depreciation and Depletion has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 20.0% (FY2021 to FY2026).
- In prior fiscal years, Houlihan Lokey's Depreciation and Depletion was $21.94 million in FY2025 (+23.4%), $17.78 million in FY2024 (+34.2%), $13.25 million in FY2023 (-9.2%) and $14.6 million in FY2022 (+31.9%).
- On a year-over-year basis, Depreciation and Depletion increased in five of the last eight quarters, with growth averaging 11.5%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q4 2024, with growth of 84.6%; the weakest was fiscal Q3 2023, with a decline of 37.5%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $6 million (Q1 2027), $6.34 million (Q4 2026) and $6.99 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 27.40 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | - |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | - |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 11.40 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | - |
| 10 | Houlihan Lokey | 9.85 Bn | 6.13 Bn | - | 7.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.00 Mn |
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 6.34 Mn |
| Dec 31, 2025 | 6.99 Mn |
| Sep 30, 2025 | 7.00 Mn |
| Jun 30, 2025 | 7.00 Mn |
| Mar 31, 2025 | 5.76 Mn |
| Dec 31, 2024 | 5.50 Mn |
| Sep 30, 2024 | 5.38 Mn |
| Jun 30, 2024 | 5.32 Mn |
| Mar 31, 2024 | 5.78 Mn |
| Dec 31, 2023 | 5.10 Mn |
| Sep 30, 2023 | 3.73 Mn |
| Jun 30, 2023 | 3.18 Mn |
| Mar 31, 2023 | 3.13 Mn |
| Dec 31, 2022 | 2.89 Mn |
| Sep 30, 2022 | 3.85 Mn |
| Jun 30, 2022 | 3.38 Mn |
| Mar 31, 2022 | 4.14 Mn |
| Dec 31, 2021 | 4.62 Mn |
Houlihan Lokey Depreciation and Depletion 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=depreciation-and-depletion&ticker=HLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=HLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();