Xtra-Gold Resources (XTGRF) Amortizatization of Intangibles (2012 - 2022)
Xtra-Gold Resources' Amortizatization of Intangibles came in at $3,526 for Q3 2022, down 93.0% from $50,596 a year earlier and down 95.1% from the prior quarter.
Xtra-Gold Resources (XTGRF) Amortizatization of Intangibles (2012 - 2022) Analysis & Trends
Over the trailing twelve months to Sep 30, 2022, Xtra-Gold Resources reported Amortizatization of Intangibles of $135,621, down 41.2% year-over-year; for FY2021, it was $173,667, up 12.1% from FY2020.
- Amortizatization of Intangibles has increased in each of the last four years, with a five-year compound annual growth rate of 4.5% (FY2016 to FY2021).
- Going back by year, Amortizatization of Intangibles was $154,939 in FY2020 (+8.9%), $142,323 in FY2019 (+2.9%), $138,304 in FY2018 (+10.7%) and $124,957 in FY2017 (-10.3%).
- The Q3 2022 figure represents the lowest quarterly Amortizatization of Intangibles in data going back to Q1 2012.
- Year-over-year, Amortizatization of Intangibles has declined for four consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q2 2021 (growth of 135.6%), and the weakest in Q3 2022 (a decline of 93.0%).
- Business Quant data shows XTGRF's Amortizatization of Intangibles at $71,340 (Q2 2022), $33,462 (Q1 2022) and $27,293 (Q4 2021) in the three quarters before Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | - |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | - |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 63.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Xtra-Gold Resources | 5.64 Mn | 6.59 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 3,526.00 |
| Jun 30, 2022 | 71,340.00 |
| Mar 31, 2022 | 33,462.00 |
| Dec 31, 2021 | 27,293.00 |
| Sep 30, 2021 | 50,596.00 |
| Jun 30, 2021 | 95,778.00 |
| Mar 31, 2021 | 44,439.00 |
| Dec 31, 2020 | 39,861.00 |
| Sep 30, 2020 | 48,135.00 |
| Jun 30, 2020 | 40,646.00 |
| Mar 31, 2020 | 26,297.00 |
| Dec 31, 2019 | 37,271.00 |
| Sep 30, 2019 | 36,658.00 |
| Jun 30, 2019 | 33,932.00 |
| Mar 31, 2019 | 34,462.00 |
| Dec 31, 2018 | 37,621.00 |
| Sep 30, 2018 | 36,187.00 |
| Jun 30, 2018 | 34,530.00 |
| Mar 31, 2018 | 29,966.00 |
| Dec 31, 2017 | 37,578.00 |
Xtra-Gold Resources Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=XTGRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "XTGRF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=XTGRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();