WisdomTree (WT) Operating Expenses (2010 - 2026)
WisdomTree (WT) posted Operating Expenses of $105.35 million for Q2 2026, up 35.1% from $77.99 million a year earlier and up 5.2% from the prior quarter.
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Analysis
WisdomTree (WT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at WisdomTree was $373.12 million, up 24.4% year-over-year; for FY2025, it came in at $319.56 million, up 10.0% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In prior years, WisdomTree's Operating Expenses was $290.44 million in FY2024 (+11.1%), $261.54 million in FY2023 (+8.4%), $241.26 million in FY2022 (+12.1%) and $215.26 million in FY2021 (+10.5%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased in each of the last 23 quarters, with growth averaging 17.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 5.2% (Q1 2024) to 35.4% (Q1 2026).
- According to Business Quant data, Operating Expenses for the three prior quarters was $100.12 million (Q1 2026), $87.69 million (Q4 2025) and $79.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 174.75 Bn | 120.88 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 137.39 Bn | -420.61 Bn | - | 149.76 Mn |
| 3 | Blackstone | 85.63 Bn | 75.61 Bn | - | 2.38 Bn |
| 4 | Brookfield | 81.94 Bn | -101.37 Bn | - | 14.94 Bn |
| 5 | Kkr | 77.88 Bn | -1.97 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 72.12 Bn | 66.93 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.73 Bn | -17.07 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 59.93 Bn | 55.35 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.57 Bn | 43.94 Bn | 451.00 Mn | 5.30 Mn |
| 10 | WisdomTree | 3.18 Bn | 1.39 Bn | - | 105.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.35 Mn |
| Mar 31, 2026 | 100.12 Mn |
| Dec 31, 2025 | 87.69 Mn |
| Sep 30, 2025 | 79.96 Mn |
| Jun 30, 2025 | 77.99 Mn |
| Mar 31, 2025 | 73.92 Mn |
| Dec 31, 2024 | 75.66 Mn |
| Sep 30, 2024 | 72.38 Mn |
| Jun 30, 2024 | 73.52 Mn |
| Mar 31, 2024 | 68.89 Mn |
| Dec 31, 2023 | 64.81 Mn |
| Sep 30, 2023 | 63.72 Mn |
| Jun 30, 2023 | 67.54 Mn |
| Mar 31, 2023 | 65.47 Mn |
| Dec 31, 2022 | 61.59 Mn |
| Sep 30, 2022 | 57.54 Mn |
| Jun 30, 2022 | 61.45 Mn |
| Mar 31, 2022 | 60.68 Mn |
| Dec 31, 2021 | 56.61 Mn |
| Sep 30, 2021 | 53.91 Mn |
API Access
WisdomTree 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=WT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WT", "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=WT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();