Stardust Power (SDST) Non Operating Interest Expenses (2024 - 2026)
Stardust Power (SDST) recorded Non Operating Interest Expenses of $331,715 in Q2 2026, up 471.0% from $58,092 a year earlier.
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Analysis
Stardust Power (SDST) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Stardust Power's Non Operating Interest Expenses came in at $410,778 as of Jun 30, 2026, up 91.7% year-over-year; for FY2025, it was $186,903, up 270.4% from FY2024.
- Across earlier years, Non Operating Interest Expenses came in at $50,454 in FY2024 (+544.5%) and $7,828 in FY2023.
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q3 2023.
- On a year-over-year basis, Non Operating Interest Expenses rose in three of the last four quarters, with growth averaging 111.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn | - |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - | - |
| 10 | Stardust Power | 138,297.59 | -8.65 Mn | - | 331,715.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 331,715.00 |
| Dec 31, 2025 | 9,681.00 |
| Sep 30, 2025 | 11,290.00 |
| Jun 30, 2025 | 58,092.00 |
| Mar 31, 2025 | 107,841.00 |
| Dec 31, 2024 | 39,817.00 |
| Sep 30, 2024 | 8,558.00 |
| Jun 30, 2024 | 789.00 |
| Mar 31, 2024 | 1,289.00 |
API Access
Stardust Power 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=SDST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SDST", "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=SDST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();