Trinseo (TSEOQ) Operating Expenses (2013 - 2026)
Trinseo's Operating Expenses was $100.8 million in Q2 2026, up 29.1% from $78.1 million a year earlier and up 15.3% from the prior quarter.
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Analysis
Trinseo (TSEOQ) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Trinseo's Operating Expenses was $436.1 million through Jun 30, 2026, up 22.5% year-over-year; for FY2025, it came in at $417 million, up 27.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $327 million in FY2024 (+5.4%), $310.3 million in FY2023 (-22.2%), $398.8 million in FY2022 (+23.3%) and $323.4 million in FY2021 (+42.2%).
- Quarterly Operating Expenses has moved between $53.8 million (Q2 2023) and $184.7 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 21.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 105.7%); the worst was Q2 2023 (a decline of 37.1%).
- Per Business Quant data, TSEOQ's Operating Expenses in the three quarters before Q2 2026 was $87.4 million (Q1 2026), $184.7 million (Q4 2025) and $63.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Trinseo | 365,999.99 | -550.43 Mn | 99.70 Mn | 100.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.80 Mn |
| Mar 31, 2026 | 87.40 Mn |
| Dec 31, 2025 | 184.70 Mn |
| Sep 30, 2025 | 63.20 Mn |
| Jun 30, 2025 | 78.10 Mn |
| Mar 31, 2025 | 91.00 Mn |
| Dec 31, 2024 | 89.80 Mn |
| Sep 30, 2024 | 97.00 Mn |
| Jun 30, 2024 | 70.10 Mn |
| Mar 31, 2024 | 70.10 Mn |
| Dec 31, 2023 | 105.20 Mn |
| Sep 30, 2023 | 66.60 Mn |
| Jun 30, 2023 | 53.80 Mn |
| Mar 31, 2023 | 84.70 Mn |
| Dec 31, 2022 | 136.00 Mn |
| Sep 30, 2022 | 80.50 Mn |
| Jun 30, 2022 | 85.60 Mn |
| Mar 31, 2022 | 96.70 Mn |
| Dec 31, 2021 | 93.00 Mn |
| Sep 30, 2021 | 76.40 Mn |
API Access
Trinseo Operating Expenses 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=operating-expenses&ticker=TSEOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TSEOQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TSEOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();