Steel Dynamics (STLD) Amortization - Intangibles (2009 - 2026)
Steel Dynamics (STLD) recorded Amortization - Intangibles of $7.73 million in Q2 2026, up 12.1% from $6.9 million a year earlier but down 0.9% from the prior quarter.
Steel Dynamics (STLD) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Steel Dynamics' Amortization - Intangibles came in at $29.64 million as of Jun 30, 2026, up 2.2% year-over-year; for FY2025, it was $27.9 million, down 8.6% from FY2024.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $30.53 million in FY2024 (-10.3%), $34.05 million in FY2023 (+22.3%), $27.84 million in FY2022 (-4.8%) and $29.23 million in FY2021 (+0.8%).
- Quarterly Amortization - Intangibles has ranged from $6.68 million in Q4 2022 to $10.92 million in Q2 2023 over the past five years.
- On a year-over-year basis, Amortization - Intangibles rose in two of the last eight quarters, with an average decline of 2.7%.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 52.6% in Q2 2023, against a decline of 30.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.8 million (Q1 2026), $7.22 million (Q4 2025) and $6.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 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 |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Steel Dynamics | 31.83 Bn | 28.70 Bn | 958.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.73 Mn |
| Mar 31, 2026 | 7.80 Mn |
| Dec 31, 2025 | 7.22 Mn |
| Sep 30, 2025 | 6.89 Mn |
| Jun 30, 2025 | 6.90 Mn |
| Mar 31, 2025 | 6.90 Mn |
| Dec 31, 2024 | 7.57 Mn |
| Sep 30, 2024 | 7.64 Mn |
| Jun 30, 2024 | 7.65 Mn |
| Mar 31, 2024 | 7.66 Mn |
| Dec 31, 2023 | 8.09 Mn |
| Sep 30, 2023 | 8.16 Mn |
| Jun 30, 2023 | 10.92 Mn |
| Mar 31, 2023 | 6.88 Mn |
| Dec 31, 2022 | 6.68 Mn |
| Sep 30, 2022 | 6.84 Mn |
| Jun 30, 2022 | 7.16 Mn |
| Mar 31, 2022 | 7.16 Mn |
| Dec 31, 2021 | 7.18 Mn |
| Sep 30, 2021 | 7.18 Mn |
Steel Dynamics Amortization - Intangibles 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=amortization-intangibles&ticker=STLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=STLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();