National Steel (SID) EV to EBITDA (2009 - 2026)
National Steel's (SID) EV to EBITDA stood at -3.09 in Q2 2026.
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Analysis
National Steel (SID) EV to EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, National Steel's EV to EBITDA came in at -13.46 as of Jun 30, 2026; for FY2025, it was -0.37.
- Across earlier years, EV to EBITDA came in at -1.71 in FY2024, 4.25 in FY2023, -0.93 in FY2022 and 0.96 in FY2021 (-66.4%).
- The Q2 2026 figure is the highest quarterly EV to EBITDA since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | National Steel | 1.53 Bn | -6.58 Bn | 579.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.64 |
| Mar 31, 2026 | -0.43 |
| Sep 30, 2025 | 0.78 |
| Jun 30, 2025 | 0.60 |
| Mar 31, 2025 | 1.11 |
| Sep 30, 2024 | 2.36 |
| Jun 30, 2024 | 2.50 |
| Mar 31, 2024 | 2.39 |
| Dec 31, 2023 | 1.45 |
| Sep 30, 2023 | 2.67 |
| Jun 30, 2023 | 2.41 |
| Jun 30, 2022 | 1.29 |
| Mar 31, 2022 | 1.64 |
| Dec 31, 2021 | -0.05 |
| Sep 30, 2021 | 0.81 |
| Jun 30, 2021 | 2.01 |
| Mar 31, 2021 | 3.07 |
| Dec 31, 2020 | 2.18 |
| Sep 30, 2020 | 2.10 |
| Jun 30, 2020 | 1.44 |
API Access
National Steel EV to EBITDA 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=ev-to-ebitda&ticker=SID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();