National Steel (SID) Interest Expenses (2009 - 2026)
National Steel (SID) reported Interest Expenses of $558.44 million for Q2 2026.
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Analysis
National Steel (SID) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, National Steel's Interest Expenses came in at -$1.84 billion; for FY2025, it came in at -$1.46 billion.
- By year, Interest Expenses came in at -$1.17 billion in FY2024, -$1.2 billion in FY2023, -$659 million in FY2022 and -$557.74 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | - |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | - |
| 10 | National Steel | 1.53 Bn | -6.58 Bn | 579.08 Mn | 558.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558.44 Mn |
| Mar 31, 2026 | -293.18 Mn |
| Sep 30, 2025 | 845.63 Mn |
| Jun 30, 2025 | 454.74 Mn |
| Mar 31, 2025 | -290.19 Mn |
| Sep 30, 2024 | 642.80 Mn |
| Jun 30, 2024 | -346.97 Mn |
| Mar 31, 2024 | -284.13 Mn |
| Dec 31, 2023 | 2.06 Bn |
| Sep 30, 2023 | -901.32 Mn |
| Jun 30, 2023 | -599.59 Mn |
| Mar 31, 2023 | -295.50 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | -144.98 Mn |
| Jun 30, 2022 | -403.87 Mn |
| Mar 31, 2022 | -208.44 Mn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | -136.56 Mn |
| Jun 30, 2021 | -361.35 Mn |
| Mar 31, 2021 | -144.19 Mn |
API Access
National Steel 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=SID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SID", "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=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();