Steel Dynamics (STLD) Other Accumulated Expenses (2009 - 2023)
Steel Dynamics' Other Accumulated Expenses came in at $12.17 million for Q1 2023, down 63.7% from $33.54 million a year earlier but up 22.5% from the prior quarter.
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Analysis
Steel Dynamics (STLD) Other Accumulated Expenses (2009 - 2023) Analysis & Trends
At the end of FY2022, Steel Dynamics' Other Accumulated Expenses was $9.93 million, down 27.6% from FY2021.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -51.0% (FY2017 to FY2022).
- Going back by year, Other Accumulated Expenses was $13.72 million in FY2021 (-30.2%), $19.66 million in FY2020 (+7.5%), $18.29 million in FY2019 (-28.3%) and $25.53 million in FY2018 (-92.7%).
- The five-year range for quarterly Other Accumulated Expenses is $9.93 million (Q4 2022) to $423.86 million (Q3 2018).
- Year-over-year, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 6.7%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q2 2021 (growth of 47.9%), and the weakest in Q2 2020 (a decline of 96.4%).
- Business Quant data shows STLD's Other Accumulated Expenses at $9.93 million (Q4 2022), $33.54 million (Q3 2022) and $17.53 million (Q2 2022) in the three quarters before Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Steel Dynamics | 33.32 Bn | 30.19 Bn | 958.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 12.17 Mn |
| Dec 31, 2022 | 9.93 Mn |
| Sep 30, 2022 | 33.54 Mn |
| Jun 30, 2022 | 17.53 Mn |
| Mar 31, 2022 | 33.54 Mn |
| Dec 31, 2021 | 13.72 Mn |
| Sep 30, 2021 | 33.54 Mn |
| Jun 30, 2021 | 17.54 Mn |
| Mar 31, 2021 | 33.86 Mn |
| Dec 31, 2020 | 19.66 Mn |
| Sep 30, 2020 | 27.65 Mn |
| Jun 30, 2020 | 11.86 Mn |
| Mar 31, 2020 | 39.75 Mn |
| Dec 31, 2019 | 18.29 Mn |
| Sep 30, 2019 | 394.50 Mn |
| Jun 30, 2019 | 328.45 Mn |
| Mar 31, 2019 | 330.67 Mn |
| Dec 31, 2018 | 25.53 Mn |
| Sep 30, 2018 | 423.86 Mn |
| Jun 30, 2018 | 364.52 Mn |
API Access
Steel Dynamics Other 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=other-accumulated-expenses&ticker=STLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=STLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();