Zhen Ding Resources (RBTK) Other Accumulated Expenses (2016 - 2022)
Zhen Ding Resources' Other Accumulated Expenses came in at $5.47 million for Q2 2022, up 6.1% from $5.15 million a year earlier but down 3.1% from the prior quarter.
Zhen Ding Resources (RBTK) Other Accumulated Expenses (2016 - 2022) Analysis & Trends
At the end of FY2021, Zhen Ding Resources' Other Accumulated Expenses was $5.48 million, up 13.2% from FY2020.
- Other Accumulated Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 14.9% (FY2016 to FY2021).
- Going back by year, Other Accumulated Expenses was $4.84 million in FY2020 (+14.8%), $4.22 million in FY2019 (+18.1%), $3.57 million in FY2018 (+2.7%) and $3.48 million in FY2017 (+27.1%).
- The five-year range for quarterly Other Accumulated Expenses is $3.27 million (Q3 2017) to $5.64 million (Q1 2022).
- Year-over-year, Other Accumulated Expenses has increased for 16 consecutive quarters, with growth averaging 16.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Accumulated Expenses ran from 1.0% in Q1 2019 to 27.1% in Q4 2017.
- Business Quant data shows RBTK's Other Accumulated Expenses at $5.64 million (Q1 2022), $5.48 million (Q4 2021) and $5.29 million (Q3 2021) in the three quarters before Q2 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Zhen Ding Resources | 61.03 Mn | 57.43 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 5.47 Mn |
| Mar 31, 2022 | 5.64 Mn |
| Dec 31, 2021 | 5.48 Mn |
| Sep 30, 2021 | 5.29 Mn |
| Jun 30, 2021 | 5.15 Mn |
| Mar 31, 2021 | 4.90 Mn |
| Dec 31, 2020 | 4.84 Mn |
| Sep 30, 2020 | 4.48 Mn |
| Jun 30, 2020 | 4.18 Mn |
| Mar 31, 2020 | 4.05 Mn |
| Dec 31, 2019 | 4.22 Mn |
| Sep 30, 2019 | 3.79 Mn |
| Jun 30, 2019 | 3.82 Mn |
| Mar 31, 2019 | 3.79 Mn |
| Dec 31, 2018 | 3.57 Mn |
| Sep 30, 2018 | 3.46 Mn |
| Jun 30, 2018 | 3.71 Mn |
| Mar 31, 2018 | 3.75 Mn |
| Dec 31, 2017 | 3.48 Mn |
| Sep 30, 2017 | 3.27 Mn |
Zhen Ding Resources Other 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=other-accumulated-expenses&ticker=RBTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "RBTK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=RBTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();