Steel Dynamics (STLD) EBITDA (2009 - 2026)
Steel Dynamics' EBITDA was $874.4 million in Q2 2026, up 69.5% from $515.72 million a year earlier and up 25.4% from the prior quarter.
Steel Dynamics (STLD) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steel Dynamics' EBITDA was $2.67 billion through Jun 30, 2026, up 48.2% year-over-year; for FY2025, it was $2.03 billion, down 16.3% from FY2024.
- EBITDA has now declined for three consecutive years, though with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In earlier years, EBITDA was $2.42 billion in FY2024 (-32.5%), $3.59 billion in FY2023 (-34.5%), $5.48 billion in FY2022 (+17.8%) and $4.65 billion in FY2021 (+296.3%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q2 2023.
- Compared with a year earlier, EBITDA has increased for four straight quarters, with growth averaging 4.2% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 493.2%); the worst was Q1 2025 (a decline of 52.8%).
- Per Business Quant data, STLD's EBITDA in the three quarters before Q2 2026 was $697.28 million (Q1 2026), $456.51 million (Q4 2025) and $646.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.53 Bn | 146.32 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 145.19 Bn | 105.69 Bn | - | - |
| 4 | Newmont | 125.76 Bn | 93.76 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 100.06 Bn | 84.10 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 94.12 Bn | 83.75 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.05 Bn | 44.25 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 59.59 Bn | 48.98 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 47.82 Bn | 26.84 Bn | - | 1.84 Bn |
| 10 | Steel Dynamics | 35.27 Bn | 32.34 Bn | 958.97 Mn | 874.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 874.40 Mn |
| Mar 31, 2026 | 697.28 Mn |
| Dec 31, 2025 | 456.51 Mn |
| Sep 30, 2025 | 646.24 Mn |
| Jun 30, 2025 | 515.72 Mn |
| Mar 31, 2025 | 408.90 Mn |
| Dec 31, 2024 | 363.05 Mn |
| Sep 30, 2024 | 516.49 Mn |
| Jun 30, 2024 | 676.18 Mn |
| Mar 31, 2024 | 866.23 Mn |
| Dec 31, 2023 | 630.26 Mn |
| Sep 30, 2023 | 840.97 Mn |
| Jun 30, 2023 | 1.17 Bn |
| Mar 31, 2023 | 943.05 Mn |
| Dec 31, 2022 | 861.29 Mn |
| Sep 30, 2022 | 1.32 Bn |
| Jun 30, 2022 | 1.71 Bn |
| Mar 31, 2022 | 1.58 Bn |
| Dec 31, 2021 | 1.52 Bn |
| Sep 30, 2021 | 1.41 Bn |
Steel Dynamics EBITDA 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=ebitda&ticker=STLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=STLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();