Sensient Technologies (SXT) Non-Current Debt (2009 - 2026)
Sensient Technologies (SXT) reported Non-Current Debt of $763.5 million for Q2 2026, up 7.5% from $710.12 million a year earlier but down 0.5% from the prior quarter.
Sensient Technologies (SXT) Non-Current Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Sensient Technologies posted Non-Current Debt of $709.23 million, up 15.6% from FY2024.
- Non-Current Debt has a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $613.52 million in FY2024 (-4.9%), $645.09 million in FY2023 (+2.3%), $630.33 million in FY2022 (+25.3%) and $503.01 million in FY2021 (-2.9%).
- Five-year quarterly Non-Current Debt spans a low of $490.9 million in Q3 2021 and a high of $767.56 million in Q1 2026.
- Year over year, Non-Current Debt has now increased in each of the last six quarters, with growth averaging 7.3% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q2 2023 (growth of 37.7%); the low point was Q3 2021 (a decline of 8.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $767.56 million (Q1 2026), $709.23 million (Q4 2025) and $711.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 20.68 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 7.80 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 8.33 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 16.59 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 11.22 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 9.43 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 1.81 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 4.00 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 6.20 Bn |
| 10 | Sensient Technologies | 5.73 Bn | 5.58 Bn | 172.80 Mn | 763.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 763.50 Mn |
| Mar 31, 2026 | 767.56 Mn |
| Dec 31, 2025 | 709.23 Mn |
| Sep 30, 2025 | 711.18 Mn |
| Jun 30, 2025 | 710.12 Mn |
| Mar 31, 2025 | 683.27 Mn |
| Dec 31, 2024 | 613.52 Mn |
| Sep 30, 2024 | 625.63 Mn |
| Jun 30, 2024 | 634.66 Mn |
| Mar 31, 2024 | 643.51 Mn |
| Dec 31, 2023 | 645.09 Mn |
| Sep 30, 2023 | 648.56 Mn |
| Jun 30, 2023 | 686.59 Mn |
| Mar 31, 2023 | 679.78 Mn |
| Dec 31, 2022 | 630.33 Mn |
| Sep 30, 2022 | 547.19 Mn |
| Jun 30, 2022 | 498.72 Mn |
| Mar 31, 2022 | 530.01 Mn |
| Dec 31, 2021 | 503.01 Mn |
| Sep 30, 2021 | 490.90 Mn |
Sensient Technologies Non-Current Debt 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=non-current-debt&ticker=SXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();