Sensient Technologies (SXT) Inventory (2009 - 2026)
Sensient Technologies' Inventory was $719.09 million in Q2 2026, up 16.1% from $619.6 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Sensient Technologies (SXT) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Sensient Technologies came in at $678.22 million, up 13.0% from FY2024.
- Inventory has now increased for five consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In earlier years, Inventory was $600.3 million in FY2024 (+0.3%), $598.4 million in FY2023 (+6.1%), $564.11 million in FY2022 (+37.0%) and $411.64 million in FY2021 (+7.9%).
- The Q2 2026 figure marks the highest quarterly Inventory in data going back to Q4 2009.
- Compared with a year earlier, Inventory has increased for seven straight quarters, with growth averaging 9.0% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q4 2022 (growth of 37.0%); the worst was Q2 2024 (a decline of 6.0%).
- Per Business Quant data, SXT's Inventory in the three quarters before Q2 2026 was $681.73 million (Q1 2026), $678.22 million (Q4 2025) and $653.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 2.12 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 3.43 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 2.53 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 751.60 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 4.08 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 6.16 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 730.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 2.23 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 1.67 Bn |
| 10 | Sensient Technologies | 5.61 Bn | 5.46 Bn | 172.80 Mn | 719.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 719.09 Mn |
| Mar 31, 2026 | 681.73 Mn |
| Dec 31, 2025 | 678.22 Mn |
| Sep 30, 2025 | 653.72 Mn |
| Jun 30, 2025 | 619.60 Mn |
| Mar 31, 2025 | 598.20 Mn |
| Dec 31, 2024 | 600.30 Mn |
| Sep 30, 2024 | 580.85 Mn |
| Jun 30, 2024 | 553.42 Mn |
| Mar 31, 2024 | 568.55 Mn |
| Dec 31, 2023 | 598.40 Mn |
| Sep 30, 2023 | 587.02 Mn |
| Jun 30, 2023 | 588.46 Mn |
| Mar 31, 2023 | 573.71 Mn |
| Dec 31, 2022 | 564.11 Mn |
| Sep 30, 2022 | 501.38 Mn |
| Jun 30, 2022 | 452.16 Mn |
| Mar 31, 2022 | 422.84 Mn |
| Dec 31, 2021 | 411.64 Mn |
| Sep 30, 2021 | 392.23 Mn |
API Access
Sensient Technologies Inventory 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=inventory&ticker=SXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();