Commercial Metals (CMC) Accumulated Expenses (2010 - 2023)
Commercial Metals (CMC) recorded Accumulated Expenses of $414.24 million in fiscal Q3 2023 (quarter ended May 31, 2023), down 12.7% from $474.65 million a year earlier but up 9.4% from the prior quarter.
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Analysis
Commercial Metals (CMC) Accumulated Expenses (2010 - 2023) Analysis & Trends
At the end of FY2022 (ended Aug 31, 2022), Commercial Metals reported Accumulated Expenses of $540.14 million, up 13.6% from FY2021.
- Annual Accumulated Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 14.5% (FY2017 to FY2022).
- Across earlier fiscal years, Accumulated Expenses came in at $475.38 million in FY2021 (+3.1%), $461.01 million in FY2020 (+30.3%), $353.79 million in FY2019 (+35.6%) and $260.94 million in FY2018 (-5.1%).
- Quarterly Accumulated Expenses has ranged from $260.94 million in fiscal Q4 2018 to $540.14 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 5.9%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 35.6% in fiscal Q4 2019, against a decline of 12.7% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $378.57 million (Q2 2023), $441.59 million (Q1 2023) and $540.14 million (Q4 2022).
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 | Commercial Metals | 6.87 Bn | 6.31 Bn | 455.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2023 | 414.24 Mn |
| Feb 28, 2023 | 378.57 Mn |
| Nov 30, 2022 | 441.59 Mn |
| Aug 31, 2022 | 540.14 Mn |
| May 31, 2022 | 474.65 Mn |
| Feb 28, 2022 | 383.62 Mn |
| Nov 30, 2021 | 410.31 Mn |
| Aug 31, 2021 | 475.38 Mn |
| May 31, 2021 | 456.39 Mn |
| Feb 28, 2021 | 341.90 Mn |
| Nov 30, 2020 | 339.55 Mn |
| Aug 31, 2020 | 461.01 Mn |
| May 31, 2020 | 363.07 Mn |
| Feb 29, 2020 | 329.92 Mn |
| Nov 30, 2019 | 317.46 Mn |
| Aug 31, 2019 | 353.79 Mn |
| May 31, 2019 | 318.98 Mn |
| Feb 28, 2019 | 265.92 Mn |
| Nov 30, 2018 | 287.47 Mn |
| Aug 31, 2018 | 260.94 Mn |
API Access
Commercial Metals 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=CMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CMC", "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=CMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();