DyTb (TMRC) Return on Capital Employed [ROCE] (2011 - 2026)
DyTb's Return on Capital Employed [ROCE] was -61.19% in fiscal Q3 2026 (quarter ended May 31, 2026), up 100.06 percentage points from -161.26% a year earlier but down 15.22 percentage points from the prior quarter.
DyTb (TMRC) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Return on Capital Employed [ROCE] at DyTb came in at -133.04%, down 52.08 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -67.69 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was -80.96% in FY2024 (+36.53 pp), -117.50% in FY2023 (-48.24 pp), -69.26% in FY2022 (-31.57 pp) and -37.69% in FY2021 (+27.66 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -164.87% (fiscal Q1 2024) and -30.98% (fiscal Q4 2021) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of +32.96 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q3 2026 (a gain of 100.06 percentage points); the worst was fiscal Q3 2023 (a drop of 102.29 percentage points).
- Per Business Quant data, TMRC's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was -45.97% (Q2 2026), -98.35% (Q1 2026) and -106.84% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 42.99% |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 9.92% |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 7.19% |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 42.05% |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 23.46% |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 3.51% |
| 10 | DyTb | 71.56 Mn | 71.56 Mn | - | -61.19% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -61.19% |
| Feb 28, 2026 | -45.97% |
| Nov 30, 2025 | -98.35% |
| Aug 31, 2025 | -106.84% |
| May 31, 2025 | -161.26% |
| Feb 28, 2025 | -124.16% |
| Nov 30, 2024 | -125.19% |
| Aug 31, 2024 | -101.50% |
| May 31, 2024 | -102.05% |
| Feb 29, 2024 | -145.79% |
| Nov 30, 2023 | -164.87% |
| Aug 31, 2023 | -163.33% |
| May 31, 2023 | -162.80% |
| Feb 28, 2023 | -125.01% |
| Nov 30, 2022 | -110.68% |
| Aug 31, 2022 | -82.77% |
| May 31, 2022 | -60.51% |
| Feb 28, 2022 | -42.51% |
| Nov 30, 2021 | -30.99% |
| Aug 31, 2021 | -30.98% |
DyTb Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();