Innospec (IOSP) Cost of Revenue (2010 - 2026)
Innospec's Cost of Revenue was $353.1 million in Q2 2026, up 11.6% from $316.5 million a year earlier and up 7.1% from the prior quarter.
Innospec (IOSP) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Innospec's Cost of Revenue was $1.34 billion through Jun 30, 2026, up 4.2% year-over-year; for FY2025, it was $1.29 billion, down 1.3% from FY2024.
- Cost of Revenue has now declined for three consecutive years, though with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.3 billion in FY2024 (-4.1%), $1.36 billion in FY2023 (-1.4%), $1.38 billion in FY2022 (+31.3%) and $1.05 billion in FY2021 (+23.3%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue since Q1 2023.
- Compared with a year earlier, Cost of Revenue was higher in four of the last eight quarters, with growth averaging 0.8%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 41.2%); the worst was Q3 2023 (a decline of 8.4%).
- Per Business Quant data, IOSP's Cost of Revenue in the three quarters before Q2 2026 was $329.7 million (Q1 2026), $328.2 million (Q4 2025) and $325.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 4.86 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 2.88 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 3.45 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 2.13 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 7.14 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 7.36 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 763.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 951.30 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 2.69 Bn |
| 10 | Innospec | 2.40 Bn | 1.30 Bn | 138.30 Mn | 353.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 353.10 Mn |
| Mar 31, 2026 | 329.70 Mn |
| Dec 31, 2025 | 328.20 Mn |
| Sep 30, 2025 | 325.20 Mn |
| Jun 30, 2025 | 316.50 Mn |
| Mar 31, 2025 | 315.70 Mn |
| Dec 31, 2024 | 330.60 Mn |
| Sep 30, 2024 | 319.30 Mn |
| Jun 30, 2024 | 308.10 Mn |
| Mar 31, 2024 | 344.50 Mn |
| Dec 31, 2023 | 339.00 Mn |
| Sep 30, 2023 | 326.90 Mn |
| Jun 30, 2023 | 330.00 Mn |
| Mar 31, 2023 | 361.80 Mn |
| Dec 31, 2022 | 359.10 Mn |
| Sep 30, 2022 | 357.00 Mn |
| Jun 30, 2022 | 327.80 Mn |
| Mar 31, 2022 | 333.10 Mn |
| Dec 31, 2021 | 300.30 Mn |
| Sep 30, 2021 | 263.20 Mn |
Innospec Cost of Revenue 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=cost-of-revenue&ticker=IOSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();