DyTb (TMRC) Interest Expenses (2010 - 2025)
DyTb (TMRC) reported Interest Expenses of $399,275 for fiscal Q4 2025 (quarter ended Aug 31, 2025), up 29.9% from the prior quarter.
Analysis
DyTb (TMRC) Interest Expenses (2010 - 2025) Analysis & Trends
For FY2025 (ended Aug 31, 2025), DyTb posted Interest Expenses of $746,133.
- Interest Expenses has a five-year compound annual growth rate of 154.3% (FY2020 to FY2025).
- The fiscal Q4 2025 figure ranks as the highest quarterly Interest Expenses in data going back to fiscal Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | - |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -50.43 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -136.00 Mn |
| 10 | DyTb | 71.56 Mn | 71.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2025 | 399,275.00 |
| May 31, 2025 | 307,433.00 |
| Feb 28, 2025 | 39,425.00 |
| Aug 31, 2020 | -2,670.00 |
| May 31, 2020 | 3,430.00 |
| Feb 29, 2020 | 2,747.00 |
| Nov 30, 2019 | 3,507.00 |
| Aug 31, 2019 | 5,316.00 |
| May 31, 2019 | 4,905.00 |
| Feb 28, 2019 | 5,215.00 |
| Nov 30, 2018 | 5,575.00 |
| Aug 31, 2018 | 51,189.00 |
| May 31, 2018 | 22,261.00 |
| Feb 28, 2018 | 28,554.00 |
| Nov 30, 2017 | 18,521.00 |
| Nov 30, 2013 | 4,000.00 |
| May 31, 2013 | -5,623.00 |
| Feb 28, 2013 | 904.00 |
| Nov 30, 2012 | 8,910.00 |
| Aug 31, 2012 | -550.00 |
API Access
DyTb Interest 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=interest-expenses&ticker=TMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=TMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();