National Steel (SID) Change in Cash (2009 - 2026)
National Steel's Change in Cash was -$1.59 billion in FY2025, compared with $1.36 billion in FY2024.
Analysis
National Steel (SID) Change in Cash (2009 - 2026) Analysis & Trends
From FY2009 onward, National Steel has reported Change in Cash for 17 years.
- The FY2025 figure marks the lowest annual Change in Cash in data going back to FY2009.
- Per Business Quant data, Change in Cash in earlier years was $1.36 billion in FY2024 (+65.5%), $819.07 million in FY2023, -$903.34 million in FY2022 and $1.2 billion in FY2021 (-30.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 749.60 Mn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 232.00 Mn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 342.00 Mn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 352.09 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | -1.20 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 252.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 563.00 Mn |
| 10 | National Steel | 1.53 Bn | -6.58 Bn | 579.08 Mn | -406.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -406.80 Mn |
| Mar 31, 2026 | -331.44 Mn |
| Sep 30, 2025 | -1.25 Bn |
| Jun 30, 2025 | -884.07 Mn |
| Mar 31, 2025 | -601.19 Mn |
| Sep 30, 2024 | 433.93 Mn |
| Jun 30, 2024 | -118.42 Mn |
| Mar 31, 2024 | -240.22 Mn |
| Dec 31, 2023 | 1.33 Bn |
| Sep 30, 2023 | -179.50 Mn |
| Jun 30, 2023 | -241.35 Mn |
| Mar 31, 2023 | -90.68 Mn |
| Jun 30, 2022 | 111.82 Mn |
| Mar 31, 2022 | -69.81 Mn |
| Jun 30, 2020 | 174.36 Mn |
| Mar 31, 2020 | 497.10 Mn |
| Mar 31, 2019 | 120.71 Mn |
| Dec 31, 2018 | -196.28 Mn |
| Sep 30, 2018 | -131.02 Mn |
| Jun 30, 2018 | 356.20 Mn |
API Access
National Steel Change in Cash 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=change-in-cash&ticker=SID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();