Steel Dynamics (STLD) Accumulated Expenses (2009 - 2026)
Steel Dynamics (STLD) recorded Accumulated Expenses of $456.95 million in Q2 2026, up 28.7% from $354.97 million a year earlier and up 11.9% from the prior quarter.
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Analysis
Steel Dynamics (STLD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Steel Dynamics reported Accumulated Expenses of $427.43 million, up 16.6% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $366.68 million in FY2024 (+18.5%), $309.31 million in FY2023 (-9.2%), $340.65 million in FY2022 (+15.1%) and $296.08 million in FY2021 (+65.8%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q2 2009.
- On a year-over-year basis, Accumulated Expenses has increased for ten consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 65.8% in Q4 2021, against a decline of 9.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $408.2 million (Q1 2026), $427.43 million (Q4 2025) and $435.2 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 456.95 Mn |
| Mar 31, 2026 | 408.20 Mn |
| Dec 31, 2025 | 427.43 Mn |
| Sep 30, 2025 | 435.20 Mn |
| Jun 30, 2025 | 354.97 Mn |
| Mar 31, 2025 | 373.26 Mn |
| Dec 31, 2024 | 366.68 Mn |
| Sep 30, 2024 | 389.36 Mn |
| Jun 30, 2024 | 343.53 Mn |
| Mar 31, 2024 | 329.49 Mn |
| Dec 31, 2023 | 309.31 Mn |
| Sep 30, 2023 | 336.24 Mn |
| Jun 30, 2023 | 293.10 Mn |
| Mar 31, 2023 | 296.52 Mn |
| Dec 31, 2022 | 340.65 Mn |
| Sep 30, 2022 | 323.33 Mn |
| Jun 30, 2022 | 300.66 Mn |
| Mar 31, 2022 | 270.18 Mn |
| Dec 31, 2021 | 296.08 Mn |
| Sep 30, 2021 | 258.55 Mn |
API Access
Steel Dynamics Accumulated Expenses 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=accumulated-expenses&ticker=STLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=STLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();