DyTb (TMRC) Depreciation and Depletion (2010 - 2021)
DyTb (TMRC) posted Depreciation and Depletion of $1,164 for FY2023 (year ended Aug 31, 2023), down 83.3% from $6,981 in FY2022.
Analysis
DyTb (TMRC) Depreciation and Depletion (2010 - 2021) Analysis & Trends
Since FY2011, DyTb has reported Depreciation and Depletion for 10 fiscal years.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -26.5% (FY2018 to FY2023).
- The FY2023 figure stands as the lowest annual Depreciation and Depletion in data going back to FY2011.
- Business Quant data shows TMRC's Depreciation and Depletion at $6,981 in FY2022 (+71.4%) and $4,072 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | - |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | - |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 555.00 Mn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 320.00 Mn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | DyTb | 71.56 Mn | 71.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2021 | 1,745.00 |
| Aug 31, 2018 | 923.00 |
| May 31, 2018 | 1,501.00 |
| Feb 28, 2018 | 1,368.00 |
| Nov 30, 2017 | 1,629.00 |
| Aug 31, 2017 | 1,859.00 |
| May 31, 2017 | 1,576.00 |
| Feb 28, 2017 | 1,717.00 |
| Nov 30, 2016 | 4,963.00 |
| Aug 31, 2016 | 5,760.00 |
| May 31, 2016 | 6,803.00 |
| Feb 29, 2016 | 6,993.00 |
| Nov 30, 2015 | 8,181.00 |
| Aug 31, 2015 | 8,181.00 |
| May 31, 2015 | 8,219.00 |
| Feb 28, 2015 | 8,968.00 |
| Nov 30, 2014 | 10,282.00 |
| Aug 31, 2014 | 11,067.00 |
| May 31, 2014 | 16,449.00 |
| Feb 28, 2014 | 19,134.00 |
API Access
DyTb 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=TMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TMRC", "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=TMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();