National Steel (SID) Price to Earnings (2009 - 2023)
National Steel's (SID) Price to Earnings was 12.63 for Q1 2023, up 996.7% from 1.15 a year earlier and up 152.5% from the prior quarter.
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Analysis
National Steel (SID) Price to Earnings (2009 - 2023) Analysis & Trends
For FY2022, Price to Earnings at National Steel was 12.32, up 339.6% from FY2021.
- By year, Price to Earnings came in at 2.80 in FY2021 (-72.0%), 9.99 in FY2020 (-47.0%), 18.86 in FY2019 (+732.8%) and 2.26 in FY2018 (-97.9%).
- The Q1 2023 figure ranks as the highest quarterly Price to Earnings since Q4 2020.
- Year over year, Price to Earnings gained in two of the last seven quarters, with growth averaging 160.8%.
- The high point for year-over-year Price to Earnings in five years was Q1 2023 (growth of 996.7%); the low point was Q4 2018 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q1 2023 came in at 5.00 (Q4 2022), 1.10 (Q3 2022) and 0.83 (Q2 2022).
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 |
|---|---|
| Mar 31, 2023 | 23.55 |
| Dec 31, 2022 | 9.33 |
| Jun 30, 2022 | 46.78 |
| Mar 31, 2022 | 4.36 |
| Dec 31, 2021 | 2.51 |
| Sep 30, 2021 | 1.28 |
| Jun 30, 2021 | 3.28 |
| Mar 31, 2021 | 5.81 |
| Dec 31, 2020 | 24.85 |
| Dec 31, 2019 | 29.03 |
| Sep 30, 2019 | 3.95 Mn |
| Jun 30, 2019 | 32.65 |
| Mar 31, 2019 | 11.25 |
| Dec 31, 2018 | 3.16 |
| Sep 30, 2018 | 3.29 |
| Jun 30, 2018 | 3.61 |
| Mar 31, 2018 | 8.04 |
| Mar 31, 2015 | 61.85 Mn |
| Mar 31, 2014 | 26.96 |
| Dec 31, 2013 | 38.34 |
API Access
National Steel Price to Earnings 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=price-to-earnings&ticker=SID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();