Stepan (SCL) Total Non-Current Liabilities (2010 - 2026)
Stepan (SCL) posted Total Non-Current Liabilities of $1.15 billion for Q2 2026, up 2.3% from $1.12 billion a year earlier and up 3.6% from the prior quarter.
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Analysis
Stepan (SCL) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Stepan's Total Non-Current Liabilities came in at $1.07 billion, unchanged from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In prior years, Stepan's Total Non-Current Liabilities was $1.07 billion in FY2024 (-0.8%), $1.08 billion in FY2023 (-9.2%), $1.19 billion in FY2022 (+32.9%) and $892.5 million in FY2021 (+37.4%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 50.2%; the weakest was Q4 2023, with a decline of 9.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.11 billion (Q1 2026), $1.07 billion (Q4 2025) and $1.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Stepan | 1.42 Bn | 912.58 Mn | 99.98 Mn | 1.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 1.11 Bn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.12 Bn |
| Mar 31, 2025 | 1.14 Bn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.07 Bn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.18 Bn |
| Dec 31, 2022 | 1.19 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 892.50 Mn |
| Sep 30, 2021 | 790.79 Mn |
API Access
Stepan Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();