Steel Dynamics (STLD) Capital Expenditures (2009 - 2026)
Steel Dynamics' Capital Expenditures was $123.84 million in Q2 2026, down 57.0% from $288.33 million a year earlier and down 10.2% from the prior quarter.
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Analysis
Steel Dynamics (STLD) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steel Dynamics' Capital Expenditures was $616.01 million through Jun 30, 2026, down 63.1% year-over-year; for FY2025, it was $948.03 million, down 49.2% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $1.87 billion in FY2024 (+12.7%), $1.66 billion in FY2023 (+82.4%), $908.9 million in FY2022 (-9.7%) and $1.01 billion in FY2021 (-16.0%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q2 2019.
- Compared with a year earlier, Capital Expenditures has declined for seven straight quarters, with an average decline of 36.7% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2023 (growth of 131.5%); the worst was Q3 2025 (a decline of 73.3%).
- Per Business Quant data, STLD's Capital Expenditures in the three quarters before Q2 2026 was $137.98 million (Q1 2026), $188.5 million (Q4 2025) and $165.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 719.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -431.28 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 1.10 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | -1.19 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -1.10 Bn |
| 10 | Steel Dynamics | 31.83 Bn | 28.70 Bn | 958.97 Mn | 123.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.84 Mn |
| Mar 31, 2026 | 137.98 Mn |
| Dec 31, 2025 | 188.50 Mn |
| Sep 30, 2025 | 165.69 Mn |
| Jun 30, 2025 | 288.33 Mn |
| Mar 31, 2025 | 305.51 Mn |
| Dec 31, 2024 | 453.18 Mn |
| Sep 30, 2024 | 621.36 Mn |
| Jun 30, 2024 | 419.17 Mn |
| Mar 31, 2024 | 374.31 Mn |
| Dec 31, 2023 | 514.95 Mn |
| Sep 30, 2023 | 558.36 Mn |
| Jun 30, 2023 | 358.28 Mn |
| Mar 31, 2023 | 226.32 Mn |
| Dec 31, 2022 | 344.20 Mn |
| Sep 30, 2022 | 241.23 Mn |
| Jun 30, 2022 | 164.14 Mn |
| Mar 31, 2022 | 159.33 Mn |
| Dec 31, 2021 | 204.54 Mn |
| Sep 30, 2021 | 214.63 Mn |
API Access
Steel Dynamics Capital Expenditures 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=capital-expenditures&ticker=STLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "STLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=STLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();