Innospec (IOSP) Operating Expenses (2010 - 2026)
Innospec's Operating Expenses came in at $98.6 million for Q2 2026, up 10.9% from $88.9 million a year earlier and up 13.3% from the prior quarter.
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Analysis
Innospec (IOSP) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Innospec reported Operating Expenses of $377 million, up 9.2% year-over-year; for FY2025, it came in at $362.9 million, down 0.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $365 million in FY2024 (-15.0%), $429.5 million in FY2023 (+7.5%), $399.4 million in FY2022 (+31.9%) and $302.8 million in FY2021 (-2.0%).
- The five-year range for quarterly Operating Expenses is $77.4 million (Q4 2021) to $116.2 million (Q2 2023).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with an average decline of 1.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2025 (growth of 41.1%), and the weakest in Q2 2024 (a decline of 25.8%).
- Business Quant data shows IOSP's Operating Expenses at $87 million (Q1 2026), $80.6 million (Q4 2025) and $110.8 million (Q3 2025) in the three quarters before Q2 2026.
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 | Innospec | 2.35 Bn | 1.25 Bn | 138.30 Mn | 98.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.60 Mn |
| Mar 31, 2026 | 87.00 Mn |
| Dec 31, 2025 | 80.60 Mn |
| Sep 30, 2025 | 110.80 Mn |
| Jun 30, 2025 | 88.90 Mn |
| Mar 31, 2025 | 82.60 Mn |
| Dec 31, 2024 | 95.10 Mn |
| Sep 30, 2024 | 78.50 Mn |
| Jun 30, 2024 | 86.20 Mn |
| Mar 31, 2024 | 105.20 Mn |
| Dec 31, 2023 | 111.20 Mn |
| Sep 30, 2023 | 95.30 Mn |
| Jun 30, 2023 | 116.20 Mn |
| Mar 31, 2023 | 106.80 Mn |
| Dec 31, 2022 | 105.00 Mn |
| Sep 30, 2022 | 105.90 Mn |
| Jun 30, 2022 | 93.50 Mn |
| Mar 31, 2022 | 95.00 Mn |
| Dec 31, 2021 | 77.40 Mn |
| Sep 30, 2021 | 81.50 Mn |
API Access
Innospec 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=IOSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IOSP", "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=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();