Westwood Holdings (WHG) Operating Expenses (2010 - 2026)
Westwood Holdings' Operating Expenses came in at $23.28 million for Q2 2026, up 4.6% from $22.25 million a year earlier but down 12.0% from the prior quarter.
Westwood Holdings (WHG) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Westwood Holdings reported Operating Expenses of $96.96 million, up 4.5% year-over-year; for FY2025, it came in at $92.79 million, down 1.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $93.89 million in FY2024 (+12.1%), $83.78 million in FY2023 (+13.9%), $73.55 million in FY2022 (+9.6%) and $67.1 million in FY2021 (-2.1%).
- The five-year range for quarterly Operating Expenses is $15.82 million (Q3 2021) to $26.87 million (Q2 2024).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 4.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 47.0%), and the weakest in Q3 2021 (a decline of 18.9%).
- Business Quant data shows WHG's Operating Expenses at $26.46 million (Q1 2026), $24.94 million (Q4 2025) and $22.28 million (Q3 2025) in the three quarters before 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 | Westwood Holdings | 169.13 Mn | 8,824.44 | - | 23.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.28 Mn |
| Mar 31, 2026 | 26.46 Mn |
| Dec 31, 2025 | 24.94 Mn |
| Sep 30, 2025 | 22.28 Mn |
| Jun 30, 2025 | 22.25 Mn |
| Mar 31, 2025 | 23.32 Mn |
| Dec 31, 2024 | 23.02 Mn |
| Sep 30, 2024 | 24.21 Mn |
| Jun 30, 2024 | 26.87 Mn |
| Mar 31, 2024 | 19.79 Mn |
| Dec 31, 2023 | 20.39 Mn |
| Sep 30, 2023 | 23.33 Mn |
| Jun 30, 2023 | 18.28 Mn |
| Mar 31, 2023 | 21.78 Mn |
| Dec 31, 2022 | 24.26 Mn |
| Sep 30, 2022 | 16.49 Mn |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | 16.80 Mn |
| Dec 31, 2021 | 17.02 Mn |
| Sep 30, 2021 | 15.82 Mn |
Westwood Holdings 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=WHG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WHG", "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=WHG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();