Spdr Gold Trust (GLD) Operating Expenses (2009 - 2026)
Spdr Gold Trust (GLD) recorded Operating Expenses of $149.76 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 51.5% from $98.83 million a year earlier but down 9.6% from the prior quarter.
Spdr Gold Trust (GLD) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Spdr Gold Trust's Operating Expenses came in at $564.02 million as of Jun 30, 2026, up 74.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $363.08 million, up 50.0% from FY2024.
- Annual Operating Expenses has a three-year compound annual growth rate of 15.0% (FY2022 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $242.09 million in FY2024 (+9.2%), $221.61 million in FY2023 (-7.1%) and $238.5 million in FY2022.
- Quarterly Operating Expenses has ranged from $51.5 million in fiscal Q1 2023 to $165.65 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 12 consecutive quarters, with growth averaging 57.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 1.0% (fiscal Q4 2023) to 106.1% (fiscal Q2 2026).
- Per Business Quant, the preceding three fiscal quarters came in at $165.65 million (Q2 2026), $140.41 million (Q1 2026) and $108.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 166.01 Bn | 112.36 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.03 Bn | -424.98 Bn | - | 149.76 Mn |
| 3 | Blackstone | 86.20 Bn | 81.13 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.71 Bn | 50.19 Bn | - | 5.41 Bn |
| 5 | Brookfield | 81.54 Bn | -83.85 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.09 Bn | 67.34 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.54 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.57 Bn | 57.00 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.40 Bn | 44.76 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Ameriprise Financial | 43.81 Bn | 5.23 Bn | 4.72 Bn | 3.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.76 Mn |
| Mar 31, 2026 | 165.65 Mn |
| Dec 31, 2025 | 140.41 Mn |
| Sep 30, 2025 | 108.19 Mn |
| Jun 30, 2025 | 98.83 Mn |
| Mar 31, 2025 | 80.37 Mn |
| Dec 31, 2024 | 75.69 Mn |
| Sep 30, 2024 | 68.33 Mn |
| Jun 30, 2024 | 62.14 Mn |
| Mar 31, 2024 | 55.88 Mn |
| Dec 31, 2023 | 55.75 Mn |
| Sep 30, 2023 | 56.15 Mn |
| Jun 30, 2023 | 59.09 Mn |
| Mar 31, 2023 | 54.88 Mn |
| Dec 31, 2022 | 51.50 Mn |
| Sep 30, 2022 | 55.56 Mn |
| Dec 31, 2018 | 30.17 Mn |
| Sep 30, 2018 | 30.48 Mn |
| Jun 30, 2018 | 35.60 Mn |
| Mar 31, 2018 | 35.23 Mn |
Spdr 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=GLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GLD", "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=GLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();