DyTb (TMRC) Non Operating Interest Expenses (2010 - 2025)
DyTb's Non Operating Interest Expenses came in at $399,275 for fiscal Q4 2025 (quarter ended Aug 31, 2025), up 29.9% from the prior quarter.
Analysis
DyTb (TMRC) Non Operating Interest Expenses (2010 - 2025) Analysis & Trends
For FY2025 (ended Aug 31, 2025), DyTb's Non Operating Interest Expenses was $746,133.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 154.3% (FY2020 to FY2025).
- The fiscal Q4 2025 figure represents the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=TMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=TMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();