Gold.com (GOLD) Operating Expenses (2012 - 2026)
Gold.com (GOLD) reported Operating Expenses of $77.94 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 45.9% from $53.42 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Gold.com (GOLD) Operating Expenses (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Gold.com posted Operating Expenses of $275.58 million, up 98.0% from FY2025.
- Operating Expenses has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 41.8% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $139.19 million in FY2025 (+55.0%), $89.8 million in FY2024 (+5.3%), $85.28 million in FY2023 (+11.3%) and $76.62 million in FY2022 (+59.6%).
- Five-year quarterly Operating Expenses spans a low of $16.68 million in fiscal Q1 2022 and a high of $78.04 million in fiscal Q3 2026.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 81.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2025 (growth of 135.3%); the low point was fiscal Q3 2024 (a decline of 4.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $78.04 million (Q3 2026), $59.78 million (Q2 2026) and $59.82 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Gold.com | 1.01 Bn | 48.32 Mn | 110.30 Mn | 77.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.94 Mn |
| Mar 31, 2026 | 78.04 Mn |
| Dec 31, 2025 | 59.78 Mn |
| Sep 30, 2025 | 59.82 Mn |
| Jun 30, 2025 | 53.42 Mn |
| Mar 31, 2025 | 33.40 Mn |
| Dec 31, 2024 | 25.75 Mn |
| Sep 30, 2024 | 26.62 Mn |
| Jun 30, 2024 | 22.71 Mn |
| Mar 31, 2024 | 22.85 Mn |
| Dec 31, 2023 | 22.40 Mn |
| Sep 30, 2023 | 21.85 Mn |
| Jun 30, 2023 | 22.84 Mn |
| Mar 31, 2023 | 23.84 Mn |
| Dec 31, 2022 | 20.81 Mn |
| Sep 30, 2022 | 17.78 Mn |
| Jun 30, 2022 | 20.73 Mn |
| Mar 31, 2022 | 20.49 Mn |
| Dec 31, 2021 | 18.71 Mn |
| Sep 30, 2021 | 16.68 Mn |
API Access
Gold.com 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=GOLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GOLD", "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=GOLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();