Innospec (IOSP) Inventory (2010 - 2026)
Innospec (IOSP) recorded Inventory of $337.3 million in Q2 2026, up 0.1% from $336.8 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Innospec (IOSP) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Innospec reported Inventory of $329.3 million, up 9.4% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $301 million in FY2024 (+0.3%), $300.1 million in FY2023 (-19.6%), $373.1 million in FY2022 (+34.4%) and $277.6 million in FY2021 (+26.2%).
- Quarterly Inventory has ranged from $274.1 million in Q3 2021 to $381.8 million in Q3 2022 over the past five years.
- On a year-over-year basis, Inventory has increased for seven consecutive quarters, with growth averaging 3.4% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 44.6% in Q2 2022, against a decline of 19.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $321.5 million (Q1 2026), $329.3 million (Q4 2025) and $345.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 2.12 Bn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 3.43 Bn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.53 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 751.60 Mn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 4.44 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 4.08 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 6.16 Bn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 730.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 1.67 Bn |
| 10 | Innospec | 2.41 Bn | 1.32 Bn | 138.30 Mn | 337.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337.30 Mn |
| Mar 31, 2026 | 321.50 Mn |
| Dec 31, 2025 | 329.30 Mn |
| Sep 30, 2025 | 345.20 Mn |
| Jun 30, 2025 | 336.80 Mn |
| Mar 31, 2025 | 315.40 Mn |
| Dec 31, 2024 | 301.00 Mn |
| Sep 30, 2024 | 319.30 Mn |
| Jun 30, 2024 | 313.50 Mn |
| Mar 31, 2024 | 304.30 Mn |
| Dec 31, 2023 | 300.10 Mn |
| Sep 30, 2023 | 331.50 Mn |
| Jun 30, 2023 | 356.70 Mn |
| Mar 31, 2023 | 365.70 Mn |
| Dec 31, 2022 | 373.10 Mn |
| Sep 30, 2022 | 381.80 Mn |
| Jun 30, 2022 | 362.20 Mn |
| Mar 31, 2022 | 308.20 Mn |
| Dec 31, 2021 | 277.60 Mn |
| Sep 30, 2021 | 274.10 Mn |
API Access
Innospec Inventory 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=inventory&ticker=IOSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();