National Steel (SID) Asset Writedowns and Impairment (2009 - 2026)
National Steel's Asset Writedowns and Impairment was -$1.09 million in FY2023, compared with -$5,628 in FY2022.
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Analysis
National Steel (SID) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
From FY2012 onward, National Steel has reported Asset Writedowns and Impairment for 4 years.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was -$5,628 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - |
| 10 | National Steel | 1.55 Bn | -6.56 Bn | 579.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -79.34 Mn |
| Mar 31, 2026 | -30.83 Mn |
| Dec 31, 2025 | -94.47 Mn |
| Sep 30, 2025 | -22.12 Mn |
| Jun 30, 2025 | -15.70 Mn |
| Mar 31, 2025 | 796,970.79 |
| Dec 31, 2024 | -43.83 Mn |
| Sep 30, 2024 | -16.53 Mn |
| Mar 31, 2024 | -9.62 Mn |
| Dec 31, 2023 | -89.95 Mn |
| Jun 30, 2021 | 17.45 Mn |
| Dec 31, 2020 | 18,523.41 |
| Dec 31, 2015 | 97.94 Mn |
| Sep 30, 2015 | 23.18 Mn |
| Jun 30, 2015 | 29.11 Mn |
| Mar 31, 2015 | 2.97 Mn |
| Dec 31, 2014 | 52.40 Mn |
| Sep 30, 2014 | 8.83 Mn |
| Jun 30, 2014 | 23.41 Mn |
| Dec 31, 2013 | 95.35 Mn |
API Access
National Steel Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=SID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();