Sensient Technologies (SXT) EBITDA (2010 - 2026)
Sensient Technologies (SXT) recorded EBITDA of $88.7 million in Q3 2026, up 21.1% from $73.26 million a year earlier but down 4.2% from the prior quarter.
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Analysis
Sensient Technologies (SXT) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Sensient Technologies' EBITDA came in at $316.95 million as of Sep 30, 2026, up 16.5% year-over-year; for FY2025, it was $268.23 million, up 6.5% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $251.91 million in FY2024 (+18.4%), $212.84 million in FY2023 (-14.6%), $249.22 million in FY2022 (+12.2%) and $222.08 million in FY2021 (+9.8%).
- Quarterly EBITDA has ranged from $22.52 million in Q4 2023 to $92.59 million in Q2 2026 over the past five years.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 30.7% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 153.7% in Q4 2024, against a decline of 58.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $92.59 million (Q2 2026), $82.27 million (Q1 2026) and $53.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 3.12 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 1.30 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 1.40 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 1.44 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 782.00 Mn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 536.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 316.80 Mn |
| 10 | Sensient Technologies | 5.12 Bn | 4.97 Bn | 164.95 Mn | 88.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 88.70 Mn |
| Jun 30, 2026 | 92.59 Mn |
| Mar 31, 2026 | 82.27 Mn |
| Dec 31, 2025 | 53.39 Mn |
| Sep 30, 2025 | 73.26 Mn |
| Jun 30, 2025 | 72.97 Mn |
| Mar 31, 2025 | 68.60 Mn |
| Dec 31, 2024 | 57.14 Mn |
| Sep 30, 2024 | 65.98 Mn |
| Jun 30, 2024 | 64.67 Mn |
| Mar 31, 2024 | 64.12 Mn |
| Dec 31, 2023 | 22.52 Mn |
| Sep 30, 2023 | 59.30 Mn |
| Jun 30, 2023 | 66.03 Mn |
| Mar 31, 2023 | 64.99 Mn |
| Dec 31, 2022 | 54.43 Mn |
| Sep 30, 2022 | 60.58 Mn |
| Jun 30, 2022 | 68.37 Mn |
| Mar 31, 2022 | 65.85 Mn |
| Dec 31, 2021 | 53.64 Mn |
API Access
Sensient Technologies EBITDA 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=ebitda&ticker=SXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();