Nucor (NUE) Selling, General & Administrative (2009 - 2026)
Nucor (NUE) posted Selling, General & Administrative of $405 million for Q2 2026, up 33.2% from $304 million a year earlier and up 7.1% from the prior quarter.
Nucor (NUE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Selling, General & Administrative at Nucor was $1.42 billion, up 32.6% year-over-year; for FY2025, it came in at $1.22 billion, up 8.5% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In prior years, Nucor's Selling, General & Administrative was $1.12 billion in FY2024 (-29.1%), $1.59 billion in FY2023 (-20.6%), $2 billion in FY2022 (+17.0%) and $1.71 billion in FY2021 (+177.5%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q2 2023.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last five quarters, with growth averaging 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2021, with growth of 225.8%; the weakest was Q3 2024, with a decline of 36.7%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $378 million (Q1 2026), $334 million (Q4 2025) and $300 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | - |
| 10 | AngloGold Ashanti | 43.01 Bn | 32.68 Bn | 1.70 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 405.00 Mn |
| Apr 4, 2026 | 378.00 Mn |
| Dec 31, 2025 | 334.00 Mn |
| Oct 4, 2025 | 300.00 Mn |
| Jul 5, 2025 | 304.00 Mn |
| Apr 5, 2025 | 281.00 Mn |
| Dec 31, 2024 | 240.00 Mn |
| Sep 28, 2024 | 244.00 Mn |
| Jun 29, 2024 | 294.00 Mn |
| Mar 30, 2024 | 345.00 Mn |
| Dec 31, 2023 | 355.95 Mn |
| Sep 30, 2023 | 385.77 Mn |
| Jul 1, 2023 | 453.39 Mn |
| Apr 1, 2023 | 389.90 Mn |
| Dec 31, 2022 | 422.65 Mn |
| Oct 1, 2022 | 486.56 Mn |
| Jul 2, 2022 | 563.21 Mn |
| Apr 2, 2022 | 524.58 Mn |
| Dec 31, 2021 | 502.07 Mn |
| Oct 2, 2021 | 526.35 Mn |
Nucor 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=NUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NUE", "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=NUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();