Steel Dynamics (STLD) Amortization - Intangibles (2009 - 2026)
Steel Dynamics (STLD) recorded Amortization - Intangibles of $7.7 million in Q3 2026, up 11.7% from $6.89 million a year earlier but down 0.4% from the prior quarter.
Powered by 
Analysis
Steel Dynamics (STLD) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Steel Dynamics' Amortization - Intangibles came in at $30.45 million as of Sep 30, 2026, up 7.7% 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 has increased for three consecutive quarters, with an average decline of 0.5% over the last eight quarters.
- 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 $7.73 million (Q2 2026), $7.8 million (Q1 2026) and $7.22 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn |
| 10 | Steel Dynamics | 31.88 Bn | 28.69 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.70 Mn |
| 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 |
API Access
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_KEYimport 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();