Sensient Technologies (SXT) Total Current Liabilities (2009 - 2026)
Sensient Technologies' Total Current Liabilities was $269.62 million in Q2 2026, up 7.4% from $251.12 million a year earlier and up 20.5% from the prior quarter.
Sensient Technologies (SXT) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Sensient Technologies came in at $263.58 million, down 2.6% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $270.64 million in FY2024 (+14.5%), $236.31 million in FY2023 (-13.2%), $272.15 million in FY2022 (+17.2%) and $232.31 million in FY2021 (+7.6%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q4 2024.
- Compared with a year earlier, Total Current Liabilities was higher in five of the last eight quarters, with growth averaging 4.7%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2022 (growth of 34.4%); the worst was Q2 2023 (a decline of 15.6%).
- Per Business Quant data, SXT's Total Current Liabilities in the three quarters before Q2 2026 was $223.71 million (Q1 2026), $263.58 million (Q4 2025) and $233.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 16.13 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 6.02 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 9.63 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 4.58 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 7.11 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 1.44 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 5.23 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 1.41 Bn |
| 10 | Sensient Technologies | 5.61 Bn | 5.46 Bn | 172.80 Mn | 269.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269.62 Mn |
| Mar 31, 2026 | 223.71 Mn |
| Dec 31, 2025 | 263.58 Mn |
| Sep 30, 2025 | 233.69 Mn |
| Jun 30, 2025 | 251.12 Mn |
| Mar 31, 2025 | 230.70 Mn |
| Dec 31, 2024 | 270.64 Mn |
| Sep 30, 2024 | 256.46 Mn |
| Jun 30, 2024 | 227.04 Mn |
| Mar 31, 2024 | 218.86 Mn |
| Dec 31, 2023 | 236.31 Mn |
| Sep 30, 2023 | 223.82 Mn |
| Jun 30, 2023 | 222.65 Mn |
| Mar 31, 2023 | 234.65 Mn |
| Dec 31, 2022 | 272.15 Mn |
| Sep 30, 2022 | 255.43 Mn |
| Jun 30, 2022 | 263.92 Mn |
| Mar 31, 2022 | 214.38 Mn |
| Dec 31, 2021 | 232.31 Mn |
| Sep 30, 2021 | 224.37 Mn |
Sensient Technologies Total 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-current-liabilities&ticker=SXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();