National Steel (SID) Gains from Investment Securities (2009 - 2023)
National Steel (SID) reported Gains from Investment Securities of $98,892 for Q1 2019.
Analysis
National Steel (SID) Gains from Investment Securities (2009 - 2023) Analysis & Trends
Over the twelve months ended Mar 31, 2019, National Steel's Gains from Investment Securities came in at -$13.5 million; for FY2017, it was -$8.79 million.
- By year, Gains from Investment Securities came in at -$1.58 million in FY2016.
- The Q1 2019 figure ranks as the highest quarterly Gains from Investment Securities since Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - |
| 2 | Southern Copper | 153.57 Bn | 132.36 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.61 Bn | 96.11 Bn | - |
| 4 | Newmont | 114.37 Bn | 79.52 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.92 Bn | 77.96 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 87.48 Bn | 77.12 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.25 Bn | 40.45 Bn | 2.90 Bn |
| 8 | Nucor | 59.15 Bn | 48.53 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.43 Bn | 24.45 Bn | - |
| 10 | National Steel | 1.54 Bn | -6.56 Bn | 579.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -28.55 Mn |
| Jun 30, 2022 | -55.56 Mn |
| Jun 30, 2021 | -11.78 Mn |
| Dec 31, 2020 | 930.94 |
| Sep 30, 2018 | -24.60 Mn |
| Sep 30, 2017 | -9.01 Mn |
| Mar 31, 2017 | -4.21 Mn |
| Dec 31, 2016 | -20.18 Mn |
| Jun 30, 2016 | -54.34 Mn |
| Mar 31, 2016 | 93,021.89 |
| Dec 31, 2015 | -709.51 Mn |
| Dec 31, 2014 | -3.30 Mn |
| Sep 30, 2014 | -3.70 Mn |
| Jun 30, 2014 | -217.18 Mn |
| Mar 31, 2014 | -2.48 Mn |
| Dec 31, 2013 | -2.26 Mn |
| Jun 30, 2013 | 31.80 Mn |
| Sep 30, 2012 | -12.75 Mn |
| Jun 30, 2012 | -41.40 Mn |
| Mar 31, 2012 | -34.08 Mn |
API Access
National Steel Gains from Investment Securities 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=gains-from-investment-securities&ticker=SID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-investment-securities", "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=gains-from-investment-securities&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();