Gold.com (GOLD) Depreciation and Depletion (2013 - 2020)
Gold.com (GOLD) recorded Depreciation and Depletion of $600,000 in fiscal Q3 2020 (quarter ended Mar 31, 2020), up 50.0% from $400,000 a year earlier and up 45.6% from the prior quarter.
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Analysis
Gold.com (GOLD) Depreciation and Depletion (2013 - 2020) Analysis & Trends
On a TTM basis, Gold.com's Depreciation and Depletion came in at $1.93 million as of Mar 31, 2020, up 15.1% year-over-year; for FY2019 (ended Jun 30, 2019), it was $1.8 million, up 5.0% from FY2018.
- Annual Depreciation and Depletion has increased for six straight fiscal years, with a five-year compound annual growth rate of 29.2% (FY2014 to FY2019).
- Across earlier fiscal years, Depreciation and Depletion came in at $1.71 million in FY2018 (+55.8%), $1.1 million in FY2017 (+31.9%), $833,000 in FY2016 (+63.0%) and $511,000 in FY2015 (+2.2%).
- The fiscal Q3 2020 figure is the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2014.
- On a year-over-year basis, Depreciation and Depletion rose in four of the last eight quarters, with growth averaging 11.5%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 106.0% in fiscal Q1 2016, against a decline of 15.5% in fiscal Q2 2019 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $412,000 (Q2 2020), $415,000 (Q1 2020) and $498,000 (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,675.56 Bn | 2,192.26 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 316.95 Bn | 310.19 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 160.25 Bn | 137.79 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 111.07 Bn | 104.03 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 75.04 Bn | 74.13 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.25 Bn | 56.17 Bn | 2.12 Bn | - |
| 7 | Target | 69.75 Bn | 64.34 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.35 Bn | 52.25 Bn | 2.52 Bn | - |
| 9 | Carvana | 40.83 Bn | 31.32 Bn | 1.38 Bn | - |
| 10 | Gold.com | 1.01 Bn | 51.36 Mn | 110.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 600,000.00 |
| Dec 31, 2019 | 412,000.00 |
| Sep 30, 2019 | 415,000.00 |
| Jun 30, 2019 | 498,000.00 |
| Mar 31, 2019 | 400,000.00 |
| Dec 31, 2018 | 448,000.00 |
| Sep 30, 2018 | 445,000.00 |
| Jun 30, 2018 | 379,000.00 |
| Mar 31, 2018 | 431,000.00 |
| Dec 31, 2017 | 530,000.00 |
| Sep 30, 2017 | 374,000.00 |
| Jun 30, 2017 | 294,000.00 |
| Mar 31, 2017 | 305,000.00 |
| Dec 31, 2016 | 275,000.00 |
| Sep 30, 2016 | 225,000.00 |
| Jun 30, 2016 | 209,000.00 |
| Mar 31, 2016 | 209,000.00 |
| Dec 31, 2015 | 209,000.00 |
| Sep 30, 2015 | 206,000.00 |
| Jun 30, 2015 | 121,000.00 |
API Access
Gold.com Depreciation and Depletion 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-depletion&ticker=GOLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=GOLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();