Stepan (SCL) Selling, General & Administrative (2010 - 2026)
Stepan (SCL) posted Selling, General & Administrative of $24.2 million for Q2 2026, up 6.1% from $22.8 million a year earlier and up 13.6% from the prior quarter.
Stepan (SCL) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Stepan was $92.09 million, down 3.3% year-over-year; for FY2025, it came in at $90.79 million, down 7.6% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, Stepan's Selling, General & Administrative was $98.28 million in FY2024 (+5.4%), $93.2 million in FY2023 (-8.8%), $102.18 million in FY2022 (+10.0%) and $92.91 million in FY2021 (+6.3%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q4 2024.
- On a year-over-year basis, Selling, General & Administrative increased in two of the last eight quarters, with an average decline of 1.4%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2022, with growth of 48.3%; the weakest was Q3 2023, with a decline of 32.3%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $21.31 million (Q1 2026), $23.71 million (Q4 2025) and $22.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.83 Bn | 217.41 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 105.75 Bn | 98.31 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 84.05 Bn | 83.09 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.41 Bn | 63.59 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 42.23 Bn | 31.74 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Ppg Industries | 25.12 Bn | 17.78 Bn | 1.81 Bn | 931.00 Mn |
| 8 | International Flavors & Fragrances | 23.81 Bn | 21.46 Bn | 853.00 Mn | 437.00 Mn |
| 9 | Dow | 22.86 Bn | 6.35 Bn | 2.17 Bn | 535.00 Mn |
| 10 | Stepan | 1.48 Bn | 970.12 Mn | 99.98 Mn | 24.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.20 Mn |
| Mar 31, 2026 | 21.31 Mn |
| Dec 31, 2025 | 23.71 Mn |
| Sep 30, 2025 | 22.86 Mn |
| Jun 30, 2025 | 22.80 Mn |
| Mar 31, 2025 | 21.41 Mn |
| Dec 31, 2024 | 24.76 Mn |
| Sep 30, 2024 | 26.25 Mn |
| Jun 30, 2024 | 24.57 Mn |
| Mar 31, 2024 | 22.69 Mn |
| Dec 31, 2023 | 25.07 Mn |
| Sep 30, 2023 | 22.90 Mn |
| Jun 30, 2023 | 22.59 Mn |
| Mar 31, 2023 | 22.64 Mn |
| Dec 31, 2022 | 22.68 Mn |
| Sep 30, 2022 | 33.85 Mn |
| Jun 30, 2022 | 24.08 Mn |
| Mar 31, 2022 | 21.57 Mn |
| Dec 31, 2021 | 23.47 Mn |
| Sep 30, 2021 | 22.83 Mn |
Stepan 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=SCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SCL", "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=SCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();