Innospec (IOSP) Total Non-Current Liabilities (2010 - 2026)
Innospec's Total Non-Current Liabilities was $435.4 million in Q2 2026, down 1.2% from $440.8 million a year earlier but up 7.0% from the prior quarter.
Innospec (IOSP) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Innospec came in at $439.3 million, down 5.2% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $463.3 million in FY2024 (-7.5%), $500.8 million in FY2023 (-2.1%), $511.4 million in FY2022 (+5.1%) and $486.6 million in FY2021 (+21.5%).
- Quarterly Total Non-Current Liabilities has moved between $406.8 million (Q1 2026) and $527.3 million (Q3 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for seven straight quarters, with an average decline of 4.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 22.9%); the worst was Q3 2023 (a decline of 16.7%).
- Per Business Quant data, IOSP's Total Non-Current Liabilities in the three quarters before Q2 2026 was $406.8 million (Q1 2026), $439.3 million (Q4 2025) and $433.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.07 Bn | 212.65 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 115.83 Bn | 108.40 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 81.95 Bn | 80.99 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 67.20 Bn | 62.39 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 40.63 Bn | 30.14 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 32.92 Bn | 29.74 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Qnity Electronics | 25.13 Bn | 22.27 Bn | 666.00 Mn | 5.75 Bn |
| 8 | Ati | 24.70 Bn | 22.72 Bn | 309.80 Mn | 3.41 Bn |
| 9 | Ppg Industries | 24.33 Bn | 16.98 Bn | 1.81 Bn | 13.30 Bn |
| 10 | Innospec | 2.44 Bn | 1.34 Bn | 138.30 Mn | 430.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 430.40 Mn |
| Mar 31, 2026 | 401.00 Mn |
| Dec 31, 2025 | 429.20 Mn |
| Sep 30, 2025 | 417.00 Mn |
| Jun 30, 2025 | 409.00 Mn |
| Mar 31, 2025 | 423.90 Mn |
| Dec 31, 2024 | 439.00 Mn |
| Sep 30, 2024 | 453.90 Mn |
| Jun 30, 2024 | 414.10 Mn |
| Mar 31, 2024 | 442.00 Mn |
| Dec 31, 2023 | 500.80 Mn |
| Sep 30, 2023 | 412.20 Mn |
| Jun 30, 2023 | 436.20 Mn |
| Mar 31, 2023 | 455.50 Mn |
| Dec 31, 2022 | 498.00 Mn |
| Sep 30, 2022 | 488.80 Mn |
| Jun 30, 2022 | 481.60 Mn |
| Mar 31, 2022 | 459.30 Mn |
| Dec 31, 2021 | 470.30 Mn |
| Sep 30, 2021 | 402.00 Mn |
Innospec Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=IOSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();