Carpenter Technology (CRS) Selling, General & Administrative (2009 - 2026)
Carpenter Technology's Selling, General & Administrative came in at $62 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.0% from $62.6 million a year earlier and down 5.1% from the prior quarter.
Carpenter Technology (CRS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Carpenter Technology's Selling, General & Administrative was $253.5 million, up 4.2% from FY2025.
- Selling, General & Administrative has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- Going back by fiscal year, Selling, General & Administrative was $243.2 million in FY2025 (+5.6%), $230.2 million in FY2024 (+12.7%), $204.2 million in FY2023 (+16.9%) and $174.7 million in FY2022 (-3.1%).
- The fiscal Q4 2026 figure represents the lowest quarterly Selling, General & Administrative since fiscal Q2 2025.
- Year-over-year, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 5.2%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q3 2023 (growth of 41.1%), and the weakest in fiscal Q3 2022 (a decline of 19.7%).
- Business Quant data shows CRS's Selling, General & Administrative at $65.3 million (Q3 2026), $63.1 million (Q2 2026) and $63.1 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | - |
| 10 | Carpenter Technology | 14.47 Bn | 13.39 Bn | 256.30 Mn | 59.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.90 Mn |
| Jun 30, 2026 | 62.00 Mn |
| Mar 31, 2026 | 65.30 Mn |
| Dec 31, 2025 | 63.10 Mn |
| Sep 30, 2025 | 63.10 Mn |
| Jun 30, 2025 | 62.60 Mn |
| Mar 31, 2025 | 63.00 Mn |
| Dec 31, 2024 | 58.60 Mn |
| Sep 30, 2024 | 59.10 Mn |
| Jun 30, 2024 | 65.40 Mn |
| Mar 31, 2024 | 57.00 Mn |
| Dec 31, 2023 | 52.80 Mn |
| Sep 30, 2023 | 55.10 Mn |
| Jun 30, 2023 | 56.20 Mn |
| Mar 31, 2023 | 54.20 Mn |
| Dec 31, 2022 | 47.40 Mn |
| Sep 30, 2022 | 46.50 Mn |
| Jun 30, 2022 | 47.40 Mn |
| Mar 31, 2022 | 38.40 Mn |
| Dec 31, 2021 | 44.60 Mn |
Carpenter Technology Selling, General & Administrative 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=selling-general-and-administrative&ticker=CRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();