Gold.com (GOLD) Depreciation & Amortization (CF) (2013 - 2026)
Gold.com's Depreciation & Amortization (CF) was $10.12 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 17.9% from $8.58 million a year earlier and up 7.4% from the prior quarter.
Gold.com (GOLD) Depreciation & Amortization (CF) (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Depreciation & Amortization (CF) at Gold.com came in at $34.75 million, up 51.6% from FY2025.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 26.4% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation & Amortization (CF) was $22.92 million in FY2025 (+101.1%), $11.4 million in FY2024 (-9.0%), $12.53 million in FY2023 (-54.1%) and $27.3 million in FY2022 (+153.0%).
- The fiscal Q4 2026 figure marks the highest quarterly Depreciation & Amortization (CF) in data going back to fiscal Q3 2013.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for nine straight quarters, with growth averaging 79.6% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was fiscal Q3 2022 (growth of 407.3%); the worst was fiscal Q1 2023 (a decline of 61.5%).
- Per Business Quant data, GOLD's Depreciation & Amortization (CF) in the three fiscal quarters before Q4 2026 was $9.42 million (Q3 2026), $7.64 million (Q2 2026) and $7.58 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 19.99 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 648.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | 138.28 Mn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 140.19 Mn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 784.00 Mn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 160.29 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 69.00 Mn |
| 10 | Gold.com | 1.02 Bn | 53.61 Mn | 110.30 Mn | 10.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.12 Mn |
| Mar 31, 2026 | 9.42 Mn |
| Dec 31, 2025 | 7.64 Mn |
| Sep 30, 2025 | 7.58 Mn |
| Jun 30, 2025 | 8.58 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 4.64 Mn |
| Sep 30, 2024 | 4.71 Mn |
| Jun 30, 2024 | 2.85 Mn |
| Mar 31, 2024 | 2.95 Mn |
| Dec 31, 2023 | 2.81 Mn |
| Sep 30, 2023 | 2.79 Mn |
| Jun 30, 2023 | 2.74 Mn |
| Mar 31, 2023 | 3.34 Mn |
| Dec 31, 2022 | 3.26 Mn |
| Sep 30, 2022 | 3.18 Mn |
| Jun 30, 2022 | 3.22 Mn |
| Mar 31, 2022 | 7.55 Mn |
| Dec 31, 2021 | 8.26 Mn |
| Sep 30, 2021 | 8.27 Mn |
Gold.com Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=GOLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=GOLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();