National Steel (SID) Dividends payables (2009 - 2025)
National Steel's Dividends payables came in at $174.87 million for FY2025.
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Analysis
National Steel (SID) Dividends payables (2009 - 2025) Analysis & Trends
Going back to FY2009, National Steel's Dividends payables data covers 7 years.
- The FY2025 figure represents the highest annual Dividends payables since FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (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 | 218.00 Mn |
| 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, 2025 | 180.71 Mn |
| Mar 31, 2020 | 2.53 Mn |
| Dec 31, 2019 | 3.30 Mn |
| Mar 31, 2019 | 239.12 Mn |
| Dec 31, 2018 | 240.57 Mn |
| Dec 31, 2017 | 33.11 Mn |
| Dec 31, 2016 | 30.52 Mn |
| Dec 31, 2015 | 17.79 Mn |
| Dec 31, 2012 | 147.48 Mn |
| Sep 30, 2012 | 172.96 Mn |
| Jun 30, 2012 | 115.40 Mn |
| Mar 31, 2012 | 574.50 Mn |
| Dec 31, 2011 | 498.03 Mn |
| Sep 30, 2011 | 2.16 Mn |
| Jun 30, 2011 | 141.55 Mn |
| Mar 31, 2011 | 459.65 Mn |
| Dec 31, 2010 | 379.87 Mn |
| Sep 30, 2010 | 157.68 Mn |
| Jun 30, 2010 | 100.37 Mn |
| Mar 31, 2010 | 927.33 Mn |
API Access
National Steel Dividends payables 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=dividends-payables&ticker=SID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();