World Gold Trust (GLDM) Operating Expenses (2017 - 2026)
World Gold Trust (GLDM) posted Operating Expenses of $7.55 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 105.9% from $3.67 million a year earlier and up 0.2% from the prior quarter.
World Gold Trust (GLDM) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at World Gold Trust was $25.47 million, up 137.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $13.06 million, up 85.6% from FY2024.
- Annual Operating Expenses shows a three-year compound annual growth rate of 28.5% (FY2022 to FY2025).
- In prior fiscal years, World Gold Trust's Operating Expenses was $7.03 million in FY2024 (+22.6%), $5.74 million in FY2023 (-6.8%) and $6.16 million in FY2022.
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q2 2017.
- On a year-over-year basis, Operating Expenses has increased in each of the last 12 quarters, with growth averaging 102.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 13.3% (fiscal Q2 2024) to 185.8% (fiscal Q2 2026).
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $7.53 million (Q2 2026), $5.98 million (Q1 2026) and $4.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 176.16 Bn | 176.16 Bn | - | - |
| 2 | Spdr Gold Trust | 134.74 Bn | -423.26 Bn | - | 149.76 Mn |
| 3 | Blackstone | 93.43 Bn | 83.42 Bn | - | 2.38 Bn |
| 4 | Brookfield | 85.48 Bn | -97.83 Bn | - | 14.94 Bn |
| 5 | Kkr | 82.46 Bn | 2.60 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 74.74 Bn | 69.55 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 67.57 Bn | -15.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 57.18 Bn | 52.60 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 45.55 Bn | 42.92 Bn | 451.00 Mn | 5.30 Mn |
| 10 | World Gold Trust | 27.26 Bn | -75.81 Bn | - | 7.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.55 Mn |
| Mar 31, 2026 | 7.53 Mn |
| Dec 31, 2025 | 5.98 Mn |
| Sep 30, 2025 | 4.42 Mn |
| Jun 30, 2025 | 3.67 Mn |
| Mar 31, 2025 | 2.64 Mn |
| Dec 31, 2024 | 2.34 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 1.84 Mn |
| Mar 31, 2024 | 1.60 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Sep 30, 2023 | 1.52 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.41 Mn |
| Dec 31, 2022 | 1.23 Mn |
| Sep 30, 2022 | 1.26 Mn |
| Jun 30, 2022 | 1.31 Mn |
| Mar 31, 2022 | 1.64 Mn |
| Dec 31, 2021 | 1.96 Mn |
| Sep 30, 2021 | 2.02 Mn |
World Gold Trust 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=GLDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GLDM", "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=GLDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();