Sensient Technologies (SXT) Shares Outstanding (2009 - 2026)
Sensient Technologies (SXT) recorded Weighted Average Shares Outstanding of 42.35 million in Q3 2026, up 0.2% from 42.25 million a year earlier and unchanged from the prior quarter.
Sensient Technologies (SXT) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Sensient Technologies reported Weighted Average Shares Outstanding of 42.24 million, up 0.2% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for three straight years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 42.15 million in FY2024 (+0.3%), 42.03 million in FY2023 (+0.3%), 41.89 million in FY2022 (-0.4%) and 42.08 million in FY2021 (-0.5%).
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 15 consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 0.4% in Q2 2023, against a decline of 0.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 42.35 million (Q2 2026), 42.29 million (Q1 2026) and 42.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 460.61 Mn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 863.00 Mn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 240.70 Mn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 222.80 Mn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 646.00 Mn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | 486.34 Mn |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 222.20 Mn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 209.40 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 136.10 Mn |
| 10 | Sensient Technologies | 5.12 Bn | 4.97 Bn | 164.95 Mn | 42.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.35 Mn |
| Jun 30, 2026 | 42.35 Mn |
| Mar 31, 2026 | 42.29 Mn |
| Dec 31, 2025 | 42.24 Mn |
| Sep 30, 2025 | 42.25 Mn |
| Jun 30, 2025 | 42.25 Mn |
| Mar 31, 2025 | 42.20 Mn |
| Dec 31, 2024 | 42.15 Mn |
| Sep 30, 2024 | 42.16 Mn |
| Jun 30, 2024 | 42.15 Mn |
| Mar 31, 2024 | 42.10 Mn |
| Dec 31, 2023 | 42.03 Mn |
| Sep 30, 2023 | 42.05 Mn |
| Jun 30, 2023 | 42.04 Mn |
| Mar 31, 2023 | 41.97 Mn |
| Dec 31, 2022 | 41.89 Mn |
| Sep 30, 2022 | 41.90 Mn |
| Jun 30, 2022 | 41.89 Mn |
| Mar 31, 2022 | 41.87 Mn |
| Dec 31, 2021 | 42.08 Mn |
Sensient Technologies Shares Outstanding 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=shares-outstanding&ticker=SXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();