DyTb (TMRC) Total Liabilities (2011 - 2026)
DyTb (TMRC) recorded Total Liabilities of $246,352 in fiscal Q3 2026 (quarter ended May 31, 2026), down 70.4% from $833,019 a year earlier but up 70.2% from the prior quarter.
DyTb (TMRC) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), DyTb reported Total Liabilities of $125,400, up 193.9% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -35.2% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $42,664 in FY2024 (-54.3%), $93,406 in FY2023 (+127.3%), $41,101 in FY2022 (-79.6%) and $201,394 in FY2021 (-81.6%).
- Quarterly Total Liabilities has ranged from $40,898 in fiscal Q2 2023 to $833,019 in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in three of the last six quarters, with growth averaging 24.3%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 193.9% in fiscal Q4 2025, against a decline of 91.7% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $144,756 (Q2 2026), $172,291 (Q1 2026) and $125,400 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 42.33 Bn |
| 10 | DyTb | 71.56 Mn | 71.56 Mn | - | 246,352.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 246,352.00 |
| Feb 28, 2026 | 144,756.00 |
| Nov 30, 2025 | 172,291.00 |
| Aug 31, 2025 | 125,400.00 |
| May 31, 2025 | 833,019.00 |
| Feb 28, 2025 | 516,132.00 |
| Nov 30, 2024 | 70,881.00 |
| Aug 31, 2024 | 42,664.00 |
| May 31, 2024 | 48,727.00 |
| Feb 29, 2024 | 41,114.00 |
| Nov 30, 2023 | 67,033.00 |
| Aug 31, 2023 | 93,406.00 |
| May 31, 2023 | 64,905.00 |
| Feb 28, 2023 | 40,898.00 |
| Nov 30, 2022 | 108,039.00 |
| Aug 31, 2022 | 41,101.00 |
| May 31, 2022 | 270,354.00 |
| Feb 28, 2022 | 80,681.00 |
| Nov 30, 2021 | 79,502.00 |
| Aug 31, 2021 | 201,394.00 |
DyTb Total Liabilities 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=total-liabilities&ticker=TMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();