National Steel (SID) Pension (2009 - 2025)
National Steel's Pension was $74.64 million in Q4 2025, down 8.3% from $81.4 million a year earlier.
Analysis
National Steel (SID) Pension (2009 - 2025) Analysis & Trends
At the end of FY2025, Pension at National Steel came in at $72.09 million, down 18.3% from FY2024.
- Pension has now declined for three consecutive years, with a five-year compound annual growth rate of -13.5% (FY2020 to FY2025).
- In earlier years, Pension was $88.28 million in FY2024 (-15.0%), $103.81 million in FY2023 (-3.7%), $107.76 million in FY2022 (+2.9%) and $104.75 million in FY2021 (-29.6%).
- The Q4 2025 figure marks the lowest quarterly Pension since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 170.10 Bn | 148.88 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.21 Bn | 103.71 Bn | - |
| 4 | Newmont | 125.18 Bn | 93.18 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.91 Bn | 83.95 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 94.19 Bn | 83.82 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.52 Bn | 44.72 Bn | 2.90 Bn |
| 8 | Nucor | 59.56 Bn | 48.94 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.28 Bn | 27.31 Bn | - |
| 10 | National Steel | 1.52 Bn | -6.59 Bn | 579.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 73.48 Mn |
| Dec 31, 2024 | 76.57 Mn |
| Dec 31, 2023 | 105.95 Mn |
| Dec 31, 2022 | 105.08 Mn |
| Dec 31, 2021 | 104.90 Mn |
| Dec 31, 2020 | 146.11 Mn |
| Sep 30, 2020 | 162.01 Mn |
| Mar 31, 2020 | 175.67 Mn |
| Dec 31, 2019 | 227.15 Mn |
| Mar 31, 2019 | 232.22 Mn |
| Dec 31, 2018 | 233.63 Mn |
| Dec 31, 2017 | 274.45 Mn |
| Sep 30, 2017 | 226.12 Mn |
| Dec 31, 2016 | 221.16 Mn |
| Dec 31, 2015 | 130.00 Mn |
| Mar 31, 2015 | 182.20 Mn |
| Dec 31, 2014 | 221.45 Mn |
| Sep 30, 2014 | 198.53 Mn |
| Mar 31, 2014 | 215.02 Mn |
| Dec 31, 2013 | 205.61 Mn |
API Access
National Steel Pension 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=pension&ticker=SID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();