Sensient Technologies (SXT) Buildings (2009 - 2026)
Sensient Technologies' Buildings came in at $368.98 million for Q2 2026, up 2.4% from $360.19 million a year earlier and up 0.6% from the prior quarter.
Sensient Technologies (SXT) Buildings (2009 - 2026) Analysis & Trends
At the end of FY2025, Sensient Technologies' Buildings was $366.8 million, up 4.4% from FY2024.
- Buildings has increased in each of the last four years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, Buildings was $351.17 million in FY2024 (+2.2%), $343.59 million in FY2023 (+6.6%), $322.27 million in FY2022 (+2.2%) and $315.21 million in FY2021 (-0.4%).
- The Q2 2026 figure represents the highest quarterly Buildings since Q4 2013.
- Year-over-year, Buildings has increased for 15 consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- The fastest year-over-year change in Buildings over five years came in Q3 2023 (growth of 10.2%), and the weakest in Q3 2022 (a decline of 3.4%).
- Business Quant data shows SXT's Buildings at $366.93 million (Q1 2026), $366.8 million (Q4 2025) and $361.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn |
| 10 | Sensient Technologies | 5.61 Bn | 5.46 Bn | 172.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 368.98 Mn |
| Mar 31, 2026 | 366.93 Mn |
| Dec 31, 2025 | 366.80 Mn |
| Sep 30, 2025 | 361.48 Mn |
| Jun 30, 2025 | 360.19 Mn |
| Mar 31, 2025 | 356.36 Mn |
| Dec 31, 2024 | 351.17 Mn |
| Sep 30, 2024 | 355.36 Mn |
| Jun 30, 2024 | 349.41 Mn |
| Mar 31, 2024 | 349.05 Mn |
| Dec 31, 2023 | 343.59 Mn |
| Sep 30, 2023 | 336.15 Mn |
| Jun 30, 2023 | 334.00 Mn |
| Mar 31, 2023 | 325.80 Mn |
| Dec 31, 2022 | 322.27 Mn |
| Sep 30, 2022 | 304.93 Mn |
| Jun 30, 2022 | 309.61 Mn |
| Mar 31, 2022 | 314.24 Mn |
| Dec 31, 2021 | 315.21 Mn |
| Sep 30, 2021 | 315.80 Mn |
Sensient Technologies Buildings 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=buildings&ticker=SXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();