Hamilton Lane (HLNE) Operating Expenses (2016 - 2026)
Hamilton Lane (HLNE) reported Operating Expenses of $148.86 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 50.4% from $98.98 million a year earlier and up 33.7% from the prior quarter.
Hamilton Lane (HLNE) Operating Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hamilton Lane's Operating Expenses came in at $483.93 million, up 24.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $434.05 million, up 9.5% from FY2025.
- Operating Expenses has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 18.5% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $396.41 million in FY2025 (+28.7%), $308.02 million in FY2024 (+6.7%), $288.71 million in FY2023 (+45.6%) and $198.36 million in FY2022 (+6.7%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2017.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 20.1%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2023 (growth of 68.8%); the low point was fiscal Q2 2024 (a decline of 14.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $111.32 million (Q4 2026), $112.58 million (Q3 2026) and $111.17 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.57 Bn | 111.92 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 134.78 Bn | -423.22 Bn | - | 149.76 Mn |
| 3 | Blackstone | 85.82 Bn | 80.74 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.68 Bn | 50.16 Bn | - | 5.41 Bn |
| 5 | Brookfield | 82.01 Bn | -83.38 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.83 Bn | 68.08 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.53 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.44 Bn | 56.87 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.81 Bn | 45.18 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Hamilton Lane | 4.74 Bn | 4.12 Bn | - | 148.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.86 Mn |
| Mar 31, 2026 | 111.32 Mn |
| Dec 31, 2025 | 112.58 Mn |
| Sep 30, 2025 | 111.17 Mn |
| Jun 30, 2025 | 98.98 Mn |
| Mar 31, 2025 | 113.94 Mn |
| Dec 31, 2024 | 92.54 Mn |
| Sep 30, 2024 | 82.81 Mn |
| Jun 30, 2024 | 107.12 Mn |
| Mar 31, 2024 | 92.78 Mn |
| Dec 31, 2023 | 73.87 Mn |
| Sep 30, 2023 | 71.28 Mn |
| Jun 30, 2023 | 70.10 Mn |
| Mar 31, 2023 | 63.47 Mn |
| Dec 31, 2022 | 68.70 Mn |
| Sep 30, 2022 | 83.56 Mn |
| Jun 30, 2022 | 72.98 Mn |
| Mar 31, 2022 | 54.63 Mn |
| Dec 31, 2021 | 50.66 Mn |
| Sep 30, 2021 | 49.82 Mn |
Hamilton Lane Operating Expenses 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=operating-expenses&ticker=HLNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HLNE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();