Innospec (IOSP) Sales of Property, Plant and Equipment (2013 - 2026)
Innospec's Sales of Property, Plant and Equipment was $1.2 million in Q2 2026, up 200.0% from $400,000 a year earlier and up 300.0% from the prior quarter.
Innospec (IOSP) Sales of Property, Plant and Equipment (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Innospec's Sales of Property, Plant and Equipment was $2.1 million through Jun 30, 2026, up 162.5% year-over-year; for FY2025, it came in at $1.1 million, up 120.0% from FY2024.
- Sales of Property, Plant and Equipment shows a four-year compound annual growth rate of -21.5% (FY2021 to FY2025).
- In earlier years, Sales of Property, Plant and Equipment was $500,000 in FY2024 (+400.0%), $100,000 in FY2023 (-50.0%), $200,000 in FY2022 (-93.1%) and $2.9 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Sales of Property, Plant and Equipment since Q4 2021.
- Compared with a year earlier, Sales of Property, Plant and Equipment has increased for three straight quarters, with growth averaging 175.0% over the last six quarters.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q2 2025 (growth of 300.0%); the worst was Q4 2022 (a decline of 96.0%).
- Per Business Quant data, IOSP's Sales of Property, Plant and Equipment in the three quarters before Q2 2026 was $300,000 (Q1 2026), $700,000 (Q4 2025) and -$100,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | - |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 83.80 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | - |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | - |
| 10 | Innospec | 2.40 Bn | 1.30 Bn | 138.30 Mn | 1.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 300,000.00 |
| Dec 31, 2025 | 700,000.00 |
| Sep 30, 2025 | -100,000.00 |
| Jun 30, 2025 | 400,000.00 |
| Mar 31, 2025 | 100,000.00 |
| Dec 31, 2024 | 200,000.00 |
| Sep 30, 2024 | 100,000.00 |
| Jun 30, 2024 | 100,000.00 |
| Mar 31, 2024 | 100,000.00 |
| Dec 31, 2023 | 100,000.00 |
| Dec 31, 2022 | 100,000.00 |
| Dec 31, 2021 | 2.50 Mn |
| Sep 30, 2021 | 100,000.00 |
| Sep 30, 2014 | 100,000.00 |
| Mar 31, 2014 | 100,000.00 |
| Sep 30, 2013 | 100,000.00 |
Innospec Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=IOSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();