National Steel (SID) Inventory (2009 - 2026)
National Steel's Inventory was $1.85 billion in Q2 2026, down 4.2% from the prior quarter.
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Analysis
National Steel (SID) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at National Steel came in at $1.87 billion.
- Inventory shows a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- In earlier years, Inventory was $11.61 million in FY2024 (-99.4%), $1.93 billion in FY2023 (-11.9%), $2.19 billion in FY2022 (+11.7%) and $1.96 billion in FY2021 (+107.5%).
- The Q2 2026 figure marks the lowest quarterly Inventory since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 7.73 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 6.97 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 1.48 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 | 1.62 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 19.28 Bn |
| 10 | National Steel | 1.53 Bn | -6.58 Bn | 579.08 Mn | 1.81 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.81 Bn |
| Mar 31, 2026 | 1.93 Bn |
| Dec 31, 2025 | 1.91 Bn |
| Dec 31, 2024 | 1.69 Bn |
| Sep 30, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.23 Bn |
| Dec 31, 2023 | 1.97 Bn |
| Jun 30, 2023 | 50.60 Mn |
| Mar 31, 2023 | 1.30 Bn |
| Dec 31, 2022 | 2.14 Bn |
| Sep 30, 2022 | 1.93 Bn |
| Jun 30, 2022 | 1.39 Bn |
| Mar 31, 2022 | 1.53 Bn |
| Dec 31, 2021 | 1.96 Bn |
| Sep 30, 2021 | 1.85 Mn |
| Jun 30, 2021 | 935.41 Mn |
| Mar 31, 2021 | 628,182.53 |
| Dec 31, 2020 | 928.09 Mn |
| Sep 30, 2020 | 894.29 Mn |
| Jun 30, 2020 | 719.60 Mn |
API Access
National Steel Inventory 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=inventory&ticker=SID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();