Gold.com (GOLD) Accumulated Expenses (2013 - 2026)
Gold.com (GOLD) reported Accumulated Expenses of $58.79 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 72.8% from $34.02 million a year earlier and up 15.0% from the prior quarter.
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Analysis
Gold.com (GOLD) Accumulated Expenses (2013 - 2026) Analysis & Trends
Dating back to fiscal Q4 2013, Gold.com's Accumulated Expenses record includes 52 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 25.6% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $34.02 million in FY2025 (+102.5%), $16.8 million in FY2024 (-17.7%), $20.42 million in FY2023 (-6.4%) and $21.81 million in FY2022 (+16.1%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2013.
- Year over year, Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 67.6% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2025 (growth of 102.5%); the low point was fiscal Q4 2024 (a decline of 17.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $51.13 million (Q3 2026), $31.33 million (Q2 2026) and $29.72 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn |
| 10 | Gold.com | 1.13 Bn | 225.05 Mn | 110.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.79 Mn |
| Mar 31, 2026 | 51.13 Mn |
| Dec 31, 2025 | 31.33 Mn |
| Sep 30, 2025 | 29.72 Mn |
| Jun 30, 2025 | 34.02 Mn |
| Mar 31, 2025 | 30.29 Mn |
| Dec 31, 2024 | 15.91 Mn |
| Sep 30, 2024 | 17.38 Mn |
| Jun 30, 2024 | 16.80 Mn |
| Mar 31, 2024 | 16.79 Mn |
| Dec 31, 2023 | 12.35 Mn |
| Sep 30, 2023 | 14.56 Mn |
| Jun 30, 2023 | 20.42 Mn |
| Mar 31, 2023 | 19.76 Mn |
| Dec 31, 2022 | 14.04 Mn |
| Sep 30, 2022 | 17.66 Mn |
| Jun 30, 2022 | 21.81 Mn |
| Mar 31, 2022 | 21.40 Mn |
| Dec 31, 2021 | 16.42 Mn |
| Sep 30, 2021 | 12.84 Mn |
API Access
Gold.com Accumulated 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=accumulated-expenses&ticker=GOLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GOLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();