Sensient Technologies (SXT) Property, Plant & Equipment (Net) (2009 - 2026)
Sensient Technologies (SXT) recorded Property, Plant & Equipment (Net) of $574.71 million in Q2 2026, up 11.5% from $515.47 million a year earlier and up 4.4% from the prior quarter.
Sensient Technologies (SXT) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Sensient Technologies reported Property, Plant & Equipment (Net) of $539.3 million, up 9.7% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $491.59 million in FY2024 (-2.7%), $505.28 million in FY2023 (+4.6%), $483.19 million in FY2022 (+8.2%) and $446.48 million in FY2021 (+0.2%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 15.0% in Q3 2023, against a decline of 2.7% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $550.56 million (Q1 2026), $539.3 million (Q4 2025) and $518.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 29.17 Bn |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 14.93 Bn |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 4.22 Bn |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 15.69 Bn |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 22.67 Bn |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 4.02 Bn |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 2.67 Bn |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 22.40 Bn |
| 10 | Sensient Technologies | 5.64 Bn | 5.50 Bn | 172.80 Mn | 574.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 574.71 Mn |
| Mar 31, 2026 | 550.56 Mn |
| Dec 31, 2025 | 539.30 Mn |
| Sep 30, 2025 | 518.49 Mn |
| Jun 30, 2025 | 515.47 Mn |
| Mar 31, 2025 | 499.18 Mn |
| Dec 31, 2024 | 491.59 Mn |
| Sep 30, 2024 | 494.62 Mn |
| Jun 30, 2024 | 491.14 Mn |
| Mar 31, 2024 | 498.19 Mn |
| Dec 31, 2023 | 505.28 Mn |
| Sep 30, 2023 | 506.55 Mn |
| Jun 30, 2023 | 504.98 Mn |
| Mar 31, 2023 | 493.78 Mn |
| Dec 31, 2022 | 483.19 Mn |
| Sep 30, 2022 | 440.44 Mn |
| Jun 30, 2022 | 443.68 Mn |
| Mar 31, 2022 | 445.25 Mn |
| Dec 31, 2021 | 446.48 Mn |
| Sep 30, 2021 | 437.79 Mn |
Sensient Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();