Commercial Metals (CMC) Other Accumulated Expenses (2009 - 2026)
Commercial Metals' Other Accumulated Expenses came in at $642.95 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 30.2% from $493.88 million a year earlier and up 13.3% from the prior quarter.
Commercial Metals (CMC) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2022, Commercial Metals' Other Accumulated Expenses data covers 14 quarters.
- Other Accumulated Expenses has increased in each of the last three fiscal years, with a four-year compound annual growth rate of 4.5% (FY2022 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $493.88 million in FY2025 (+10.9%), $445.51 million in FY2024 (+1.5%), $438.81 million in FY2023 (-18.8%) and $540.14 million in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2022.
- Year-over-year, Other Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 16.0% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q3 2026 (growth of 37.9%), and the weakest in fiscal Q4 2023 (a decline of 18.8%).
- Business Quant data shows CMC's Other Accumulated Expenses at $567.65 million (Q3 2026), $489.76 million (Q2 2026) and $457.48 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn |
| 10 | Commercial Metals | 7.09 Bn | 6.32 Bn | 501.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 642.95 Mn |
| May 31, 2026 | 567.65 Mn |
| Feb 28, 2026 | 489.76 Mn |
| Nov 30, 2025 | 457.48 Mn |
| Aug 31, 2025 | 493.88 Mn |
| May 31, 2025 | 411.55 Mn |
| Feb 28, 2025 | 385.38 Mn |
| Nov 30, 2024 | 453.38 Mn |
| Aug 31, 2024 | 445.51 Mn |
| May 31, 2024 | 399.03 Mn |
| Feb 29, 2024 | 359.02 Mn |
| Nov 30, 2023 | 409.13 Mn |
| Aug 31, 2023 | 438.81 Mn |
| 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 |
Commercial Metals 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=CMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=CMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();