Innospec (IOSP) Property, Plant & Equipment (Net) (2010 - 2026)
Innospec's Property, Plant & Equipment (Net) came in at $293.3 million for Q2 2026, down 0.8% from $295.8 million a year earlier but up 2.7% from the prior quarter.
Innospec (IOSP) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Innospec's Property, Plant & Equipment (Net) was $286.1 million, up 6.1% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last ten years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $269.7 million in FY2024 (+0.5%), $268.3 million in FY2023 (+21.5%), $220.9 million in FY2022 (+3.0%) and $214.4 million in FY2021 (+1.7%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $206.6 million (Q3 2022) to $295.8 million (Q2 2025).
- Year-over-year, Property, Plant & Equipment (Net) increased in seven of the last eight quarters, with growth averaging 4.3%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2023 (growth of 21.5%), and the weakest in Q3 2022 (a decline of 3.0%).
- Business Quant data shows IOSP's Property, Plant & Equipment (Net) at $285.7 million (Q1 2026), $286.1 million (Q4 2025) and $278.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.83 Bn | 221.97 Bn | 4.44 Bn | 29.83 Bn |
| 2 | Corning | 99.72 Bn | 91.40 Bn | 1.81 Bn | 15.52 Bn |
| 3 | Sherwin Williams | 86.17 Bn | 85.18 Bn | 3.28 Bn | 4.23 Bn |
| 4 | Air Products & Chemicals | 69.05 Bn | 64.24 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 38.34 Bn | 26.40 Bn | 1.50 Bn | 15.71 Bn |
| 6 | Nutrien | 35.09 Bn | 31.62 Bn | 1.86 Bn | 22.78 Bn |
| 7 | Ppg Industries | 27.86 Bn | 20.78 Bn | 1.76 Bn | 4.10 Bn |
| 8 | Qnity Electronics | 26.20 Bn | 22.35 Bn | 743.00 Mn | 1.84 Bn |
| 9 | Ati | 25.21 Bn | 23.17 Bn | 380.20 Mn | 2.05 Bn |
| 10 | Innospec | 1.97 Bn | 890.97 Mn | 129.10 Mn | 300.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 300.20 Mn |
| Jun 30, 2026 | 293.30 Mn |
| Mar 31, 2026 | 285.70 Mn |
| Dec 31, 2025 | 286.10 Mn |
| Sep 30, 2025 | 278.60 Mn |
| Jun 30, 2025 | 295.80 Mn |
| Mar 31, 2025 | 277.10 Mn |
| Dec 31, 2024 | 269.70 Mn |
| Sep 30, 2024 | 278.20 Mn |
| Jun 30, 2024 | 271.90 Mn |
| Mar 31, 2024 | 268.70 Mn |
| Dec 31, 2023 | 268.30 Mn |
| Sep 30, 2023 | 244.60 Mn |
| Jun 30, 2023 | 242.30 Mn |
| Mar 31, 2023 | 233.60 Mn |
| Dec 31, 2022 | 220.90 Mn |
| Sep 30, 2022 | 206.60 Mn |
| Jun 30, 2022 | 209.70 Mn |
| Mar 31, 2022 | 213.70 Mn |
| Dec 31, 2021 | 214.40 Mn |
Innospec Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=IOSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();