Steel Dynamics (STLD) Change in Inventory (2009 - 2026)
Steel Dynamics (STLD) reported Change in Inventory of $48.84 million for Q2 2026, down 70.1% from $163.42 million a year earlier and down 72.0% from the prior quarter.
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Analysis
Steel Dynamics (STLD) Change in Inventory (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Steel Dynamics' Change in Inventory came in at $497.1 million, up 160.3% year-over-year; for FY2025, it was $423.44 million, up 91.6% from FY2024.
- Change in Inventory has a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- By year, Change in Inventory came in at $221.04 million in FY2024, -$232.28 million in FY2023, -$413.26 million in FY2022 and $1.69 billion in FY2021.
- Five-year quarterly Change in Inventory spans a low of -$270.63 million in Q3 2022 and a high of $633.36 million in Q4 2021.
- The high point for year-over-year Change in Inventory in five years was Q3 2021 (growth of 980.0%); the low point was Q2 2026 (a decline of 70.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $174.43 million (Q1 2026), $338.33 million (Q4 2025) and -$64.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.13 Bn | 141.91 Bn | 2.90 Bn | 50.60 Mn |
| 3 | Rio Tinto | 141.41 Bn | 101.91 Bn | - | - |
| 4 | Newmont | 124.34 Bn | 92.34 Bn | 4.03 Bn | 131.00 Mn |
| 5 | Freeport-Mcmoran | 98.98 Bn | 83.02 Bn | 2.19 Bn | 372.00 Mn |
| 6 | Agnico Eagle Mines | 93.72 Bn | 83.35 Bn | 2.43 Bn | -42.49 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | - |
| 8 | Nucor | 60.61 Bn | 49.99 Bn | 2.03 Bn | 377.00 Mn |
| 9 | ArcelorMittal | 48.60 Bn | 27.62 Bn | - | - |
| 10 | Steel Dynamics | 35.79 Bn | 32.87 Bn | 958.97 Mn | 48.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.84 Mn |
| Mar 31, 2026 | 174.43 Mn |
| Dec 31, 2025 | 338.33 Mn |
| Sep 30, 2025 | -64.50 Mn |
| Jun 30, 2025 | 163.42 Mn |
| Mar 31, 2025 | -13.81 Mn |
| Dec 31, 2024 | 69.54 Mn |
| Sep 30, 2024 | -28.17 Mn |
| Jun 30, 2024 | 46.65 Mn |
| Mar 31, 2024 | 133.03 Mn |
| Dec 31, 2023 | -43.95 Mn |
| Sep 30, 2023 | -102.38 Mn |
| Jun 30, 2023 | 55.16 Mn |
| Mar 31, 2023 | -141.11 Mn |
| Dec 31, 2022 | -258.87 Mn |
| Sep 30, 2022 | -270.63 Mn |
| Jun 30, 2022 | 130.55 Mn |
| Mar 31, 2022 | -14.32 Mn |
| Dec 31, 2021 | 633.36 Mn |
| Sep 30, 2021 | 412.95 Mn |
API Access
Steel Dynamics Change in Inventory 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=change-in-inventory&ticker=STLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=STLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();