Stepan (SCL) Operating Expenses (2010 - 2026)
Stepan (SCL) reported Operating Expenses of $57.67 million for Q2 2026, up 6.9% from $53.92 million a year earlier and up 17.6% from the prior quarter.
Powered by 
Analysis
Stepan (SCL) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stepan's Operating Expenses came in at $206.59 million, up 2.4% year-over-year; for FY2025, it was $200.99 million, down 0.4% from FY2024.
- Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $201.73 million in FY2024 (-1.6%), $204.98 million in FY2023 (-6.2%), $218.45 million in FY2022 (-1.5%) and $221.68 million in FY2021 (+5.1%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 0.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 23.5%); the low point was Q3 2023 (a decline of 27.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $49.03 million (Q1 2026), $50.67 million (Q4 2025) and $49.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Stepan | 1.42 Bn | 912.58 Mn | 99.98 Mn | 57.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.67 Mn |
| Mar 31, 2026 | 49.03 Mn |
| Dec 31, 2025 | 50.67 Mn |
| Sep 30, 2025 | 49.23 Mn |
| Jun 30, 2025 | 53.92 Mn |
| Mar 31, 2025 | 47.18 Mn |
| Dec 31, 2024 | 49.00 Mn |
| Sep 30, 2024 | 51.74 Mn |
| Jun 30, 2024 | 50.89 Mn |
| Mar 31, 2024 | 50.11 Mn |
| Dec 31, 2023 | 58.00 Mn |
| Sep 30, 2023 | 46.09 Mn |
| Jun 30, 2023 | 48.55 Mn |
| Mar 31, 2023 | 52.35 Mn |
| Dec 31, 2022 | 55.99 Mn |
| Sep 30, 2022 | 63.73 Mn |
| Jun 30, 2022 | 52.92 Mn |
| Mar 31, 2022 | 45.82 Mn |
| Dec 31, 2021 | 60.17 Mn |
| Sep 30, 2021 | 51.61 Mn |
API Access
Stepan Operating 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=operating-expenses&ticker=SCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();