Steel Dynamics (STLD) Total Non-Current Liabilities (2009 - 2026)
Steel Dynamics (STLD) posted Total Non-Current Liabilities of $7.48 billion for Q2 2026, up 11.7% from $6.7 billion a year earlier but down 0.7% from the prior quarter.
Steel Dynamics (STLD) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Steel Dynamics' Total Non-Current Liabilities came in at $7.28 billion, up 20.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, Steel Dynamics' Total Non-Current Liabilities was $6.03 billion in FY2024 (-0.5%), $6.06 billion in FY2023 (-0.9%), $6.12 billion in FY2022 (-3.0%) and $6.3 billion in FY2021 (+26.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $5.88 billion in Q2 2023 to a high of $7.53 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last six quarters, with growth averaging 10.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2021, with growth of 33.5%; the weakest was Q2 2023, with a decline of 5.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $7.53 billion (Q1 2026), $7.28 billion (Q4 2025) and $6.82 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 163.14 Bn | 141.93 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Rio Tinto | 142.30 Bn | 102.80 Bn | - | 46.15 Bn |
| 4 | Newmont | 124.39 Bn | 92.39 Bn | 4.03 Bn | 15.38 Bn |
| 5 | Freeport-Mcmoran | 98.14 Bn | 82.18 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 93.89 Bn | 83.52 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 69.32 Bn | 44.52 Bn | 2.90 Bn | 23.61 Bn |
| 8 | Nucor | 59.77 Bn | 49.16 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 48.38 Bn | 27.40 Bn | - | 19.93 Bn |
| 10 | Steel Dynamics | 35.08 Bn | 32.16 Bn | 958.97 Mn | 7.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.48 Bn |
| Mar 31, 2026 | 7.53 Bn |
| Dec 31, 2025 | 7.28 Bn |
| Sep 30, 2025 | 6.82 Bn |
| Jun 30, 2025 | 6.70 Bn |
| Mar 31, 2025 | 7.13 Bn |
| Dec 31, 2024 | 6.03 Bn |
| Sep 30, 2024 | 6.61 Bn |
| Jun 30, 2024 | 5.97 Bn |
| Mar 31, 2024 | 6.01 Bn |
| Dec 31, 2023 | 6.06 Bn |
| Sep 30, 2023 | 6.06 Bn |
| Jun 30, 2023 | 5.88 Bn |
| Mar 31, 2023 | 5.92 Bn |
| Dec 31, 2022 | 6.12 Bn |
| Sep 30, 2022 | 6.17 Bn |
| Jun 30, 2022 | 6.23 Bn |
| Mar 31, 2022 | 6.19 Bn |
| Dec 31, 2021 | 6.30 Bn |
| Sep 30, 2021 | 5.98 Bn |
Steel Dynamics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=STLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=STLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();