Carpenter Technology (CRS) Accumulated Expenses (2010 - 2026)
Carpenter Technology's Accumulated Expenses was $206.6 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.5% from $216.3 million a year earlier but up 11.3% from the prior quarter.
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Analysis
Carpenter Technology (CRS) Accumulated Expenses (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Carpenter Technology has reported Accumulated Expenses for 65 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $216.3 million in FY2025 (+6.9%), $202.4 million in FY2024 (+11.6%), $181.3 million in FY2023 (+35.8%) and $133.5 million in FY2022 (-18.5%).
- Quarterly Accumulated Expenses has moved between $119.8 million (fiscal Q3 2022) and $216.3 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with an average decline of 0.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2023 (growth of 35.8%); the worst was fiscal Q2 2022 (a decline of 21.2%).
- Per Business Quant data, CRS's Accumulated Expenses in the three fiscal quarters before Q4 2026 was $185.7 million (Q3 2026), $142.7 million (Q2 2026) and $130.6 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - |
| 10 | Carpenter Technology | 18.35 Bn | 17.23 Bn | 268.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 206.60 Mn |
| Mar 31, 2026 | 185.70 Mn |
| Dec 31, 2025 | 142.70 Mn |
| Sep 30, 2025 | 130.60 Mn |
| Jun 30, 2025 | 216.30 Mn |
| Mar 31, 2025 | 185.80 Mn |
| Dec 31, 2024 | 165.20 Mn |
| Sep 30, 2024 | 132.90 Mn |
| Jun 30, 2024 | 202.40 Mn |
| Mar 31, 2024 | 178.20 Mn |
| Dec 31, 2023 | 158.40 Mn |
| Sep 30, 2023 | 133.10 Mn |
| Jun 30, 2023 | 181.30 Mn |
| Mar 31, 2023 | 147.40 Mn |
| Dec 31, 2022 | 124.40 Mn |
| Sep 30, 2022 | 122.90 Mn |
| Jun 30, 2022 | 133.50 Mn |
| Mar 31, 2022 | 119.80 Mn |
| Dec 31, 2021 | 124.00 Mn |
| Sep 30, 2021 | 120.40 Mn |
API Access
Carpenter Technology 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=CRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CRS", "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=CRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();