DyTb (TMRC) Return on Assets [ROA] (2011 - 2026)
DyTb's Return on Assets [ROA] was -67.57% in fiscal Q3 2026 (quarter ended May 31, 2026), up 29.38 percentage points from -96.96% a year earlier but down 0.77 percentage points from the prior quarter.
DyTb (TMRC) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Return on Assets [ROA] at DyTb came in at -187.00%, down 111.78 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of -145.32 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Assets [ROA] was -75.22% in FY2024 (+36.04 pp), -111.26% in FY2023 (-42.67 pp), -68.59% in FY2022 (-32.79 pp) and -35.80% in FY2021 (+5.87 pp).
- Quarterly Return on Assets [ROA] has moved between -157.05% (fiscal Q3 2023) and 33.44% (fiscal Q4 2021) over five years.
- Compared with a year earlier, Return on Assets [ROA] was higher in five of the last eight quarters, with an average year-over-year change of +14.89 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q2 2022 (a gain of 81.25 percentage points); the worst was fiscal Q2 2023 (a drop of 150.23 percentage points).
- Per Business Quant data, TMRC's Return on Assets [ROA] in the three fiscal quarters before Q3 2026 was -66.80% (Q2 2026), -138.55% (Q1 2026) and -155.26% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 24.66% |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 15.21% |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 3.02% |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 7.74% |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 16.10% |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 24.54% |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 8.97% |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 1.88% |
| 10 | DyTb | 71.56 Mn | 71.56 Mn | - | -67.57% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -67.57% |
| Feb 28, 2026 | -66.80% |
| Nov 30, 2025 | -138.55% |
| Aug 31, 2025 | -155.26% |
| May 31, 2025 | -96.96% |
| Feb 28, 2025 | -76.08% |
| Nov 30, 2024 | -114.09% |
| Aug 31, 2024 | -95.92% |
| May 31, 2024 | -96.70% |
| Feb 29, 2024 | -140.24% |
| Nov 30, 2023 | -156.40% |
| Aug 31, 2023 | -153.97% |
| May 31, 2023 | -157.05% |
| Feb 28, 2023 | -122.61% |
| Nov 30, 2022 | -106.34% |
| Aug 31, 2022 | -81.77% |
| May 31, 2022 | -56.63% |
| Feb 28, 2022 | 27.62% |
| Nov 30, 2021 | 32.51% |
| Aug 31, 2021 | 33.44% |
DyTb Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=TMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=TMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();