Sensient Technologies (SXT) Total Liabilities (2009 - 2026)
Sensient Technologies (SXT) reported Total Liabilities of $1.11 billion for Q2 2026, up 6.1% from $1.05 billion a year earlier and up 4.0% from the prior quarter.
Sensient Technologies (SXT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Sensient Technologies posted Total Liabilities of $1.05 billion, up 9.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $962.81 million in FY2024 (+0.2%), $961.18 million in FY2023 (-2.1%), $982.02 million in FY2022 (+21.7%) and $807.07 million in FY2021 (+0.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2009.
- Year over year, Total Liabilities has now increased in each of the last eight quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2022 (growth of 21.7%); the low point was Q2 2024 (a decline of 5.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.07 billion (Q1 2026), $1.05 billion (Q4 2025) and $1.03 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 6.79 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 13.94 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Sensient Technologies | 5.61 Bn | 5.46 Bn | 172.80 Mn | 1.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Bn |
| Mar 31, 2026 | 1.07 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 1.03 Bn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 997.63 Mn |
| Dec 31, 2024 | 962.81 Mn |
| Sep 30, 2024 | 962.16 Mn |
| Jun 30, 2024 | 937.09 Mn |
| Mar 31, 2024 | 941.75 Mn |
| Dec 31, 2023 | 961.18 Mn |
| Sep 30, 2023 | 952.52 Mn |
| Jun 30, 2023 | 991.95 Mn |
| Mar 31, 2023 | 994.51 Mn |
| Dec 31, 2022 | 982.02 Mn |
| Sep 30, 2022 | 884.69 Mn |
| Jun 30, 2022 | 844.26 Mn |
| Mar 31, 2022 | 826.91 Mn |
| Dec 31, 2021 | 807.07 Mn |
| Sep 30, 2021 | 789.02 Mn |
Sensient Technologies Total 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-liabilities&ticker=SXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();