Sensient Technologies (SXT) Total Non-Current Liabilities (2009 - 2026)
Sensient Technologies (SXT) posted Total Non-Current Liabilities of $1.07 billion for Q2 2026, up 6.8% from $1 billion a year earlier and up 4.1% from the prior quarter.
Sensient Technologies (SXT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Sensient Technologies' Total Non-Current Liabilities came in at $1.01 billion, up 9.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior years, Sensient Technologies' Total Non-Current Liabilities was $923.27 million in FY2024 (unchanged), $923.37 million in FY2023 (-2.3%), $944.83 million in FY2022 (+21.4%) and $778.24 million in FY2021 (+0.2%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last six quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2023, with growth of 21.7%; the weakest was Q1 2024, with a decline of 5.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.03 billion (Q1 2026), $1.01 billion (Q4 2025) and $986.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 5.75 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 13.30 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Sensient Technologies | 5.61 Bn | 5.46 Bn | 172.80 Mn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 986.93 Mn |
| Jun 30, 2025 | 1.00 Bn |
| Mar 31, 2025 | 954.21 Mn |
| Dec 31, 2024 | 923.27 Mn |
| Sep 30, 2024 | 922.71 Mn |
| Jun 30, 2024 | 900.66 Mn |
| Mar 31, 2024 | 904.72 Mn |
| Dec 31, 2023 | 923.37 Mn |
| Sep 30, 2023 | 915.41 Mn |
| Jun 30, 2023 | 952.86 Mn |
| Mar 31, 2023 | 957.85 Mn |
| Dec 31, 2022 | 944.83 Mn |
| Sep 30, 2022 | 846.96 Mn |
| Jun 30, 2022 | 806.36 Mn |
| Mar 31, 2022 | 787.01 Mn |
| Dec 31, 2021 | 778.24 Mn |
| Sep 30, 2021 | 758.63 Mn |
Sensient Technologies 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=SXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SXT", "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=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();