National Steel (SID) Accumulated Expenses (2009 - 2025)
National Steel's Accumulated Expenses was $2.14 billion in Q4 2012, down 31.5% from $3.12 billion a year earlier.
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Analysis
National Steel (SID) Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2012, Accumulated Expenses at National Steel came in at $2.26 billion, down 32.9% from FY2011.
- In earlier years, Accumulated Expenses was $3.36 billion in FY2011 (+36.3%) and $2.47 billion in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - |
| 10 | National Steel | 1.46 Bn | -6.65 Bn | 579.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 29.57 Mn |
| Dec 31, 2024 | 18.48 Mn |
| Dec 31, 2014 | -225.89 Mn |
| Aug 31, 2013 | 115.78 Mn |
| Dec 31, 2012 | 164.47 Mn |
| Sep 30, 2012 | 142.19 Mn |
| Jun 30, 2012 | 108.51 Mn |
| Mar 31, 2012 | 196.14 Mn |
| Dec 31, 2011 | 174.31 Mn |
| Sep 30, 2011 | 160.64 Mn |
| Jun 30, 2011 | 133.54 Mn |
| Mar 31, 2011 | 170.47 Mn |
| Dec 31, 2010 | 166.06 Mn |
| Sep 30, 2010 | 701.69 Mn |
| Jun 30, 2010 | 618.64 Mn |
| Mar 31, 2010 | 616.53 Mn |
| Dec 31, 2009 | 193.23 Mn |
| Sep 30, 2009 | 725.72 Mn |
| Jun 30, 2009 | 563.74 Mn |
| Mar 31, 2009 | 304.15 Mn |
API Access
National Steel Accumulated 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=accumulated-expenses&ticker=SID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();