Steel Dynamics (STLD) Selling, General & Administrative (2009 - 2026)
Steel Dynamics (STLD) posted Selling, General & Administrative of $193.45 million for Q2 2026, down 2.3% from $198.01 million a year earlier but up 10.4% from the prior quarter.
Steel Dynamics (STLD) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Steel Dynamics was $754.16 million, up 4.1% year-over-year; for FY2025, it was $765.31 million, up 15.2% from FY2024.
- Annual Selling, General & Administrative has increased for three consecutive years, with a four-year compound annual growth rate of 4.4% (FY2021 to FY2025).
- In prior years, Steel Dynamics' Selling, General & Administrative was $664.12 million in FY2024 (+12.8%), $588.62 million in FY2023 (+7.9%), $545.62 million in FY2022 (-15.3%) and $643.98 million in FY2021.
- Quarterly Selling, General & Administrative has run from a low of $141.21 million in Q2 2023 to a high of $200.84 million in Q3 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 10.4%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q2 2025, with growth of 23.7%; the weakest was Q1 2026, with a decline of 3.6%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $175.22 million (Q1 2026), $184.65 million (Q4 2025) and $200.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | Steel Dynamics | 32.48 Bn | 29.36 Bn | 958.97 Mn | 193.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.45 Mn |
| Mar 31, 2026 | 175.22 Mn |
| Dec 31, 2025 | 184.65 Mn |
| Sep 30, 2025 | 200.84 Mn |
| Jun 30, 2025 | 198.01 Mn |
| Mar 31, 2025 | 181.81 Mn |
| Dec 31, 2024 | 176.90 Mn |
| Sep 30, 2024 | 167.69 Mn |
| Jun 30, 2024 | 160.02 Mn |
| Mar 31, 2024 | 159.51 Mn |
| Dec 31, 2023 | 157.21 Mn |
| Sep 30, 2023 | 145.90 Mn |
| Jun 30, 2023 | 141.21 Mn |
| Mar 31, 2023 | 144.31 Mn |
| Sep 30, 2019 | 131.79 Mn |
| Jun 30, 2019 | 136.13 Mn |
| Mar 31, 2019 | 141.73 Mn |
| Dec 31, 2018 | 155.68 Mn |
| Sep 30, 2018 | 154.51 Mn |
| Jun 30, 2018 | 150.20 Mn |
Steel Dynamics Selling, General & Administrative 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=selling-general-and-administrative&ticker=STLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=STLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();