LyondellBasell Industries (LYB) Other Accumulated Expenses (2009 - 2026)
LyondellBasell Industries (LYB) posted Other Accumulated Expenses of $493 million for Q2 2023, down 29.9% from $703 million a year earlier and down 9.2% from the prior quarter.
LyondellBasell Industries (LYB) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2022, LyondellBasell Industries' Other Accumulated Expenses came in at $477 million, down 42.6% from FY2021.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -5.6% (FY2017 to FY2022).
- In prior years, LyondellBasell Industries' Other Accumulated Expenses was $831 million in FY2021 (+51.1%), $550 million in FY2020 (+33.5%), $412 million in FY2019 (-21.8%) and $527 million in FY2018 (-17.3%).
- Quarterly Other Accumulated Expenses has run from a low of $404 million in Q2 2020 to a high of $831 million in Q4 2021 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last four quarters, with growth averaging 5.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2021, with growth of 51.1%; the weakest was Q4 2022, with a decline of 42.6%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $543 million (Q1 2023), $477 million (Q4 2022) and $622 million (Q3 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 242.21 Bn | 224.35 Bn | 4.44 Bn |
| 2 | Corning | 102.99 Bn | 95.28 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 84.65 Bn | 83.67 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 70.13 Bn | 70.13 Bn | - |
| 5 | LyondellBasell Industries | 41.26 Bn | 29.44 Bn | 1.50 Bn |
| 6 | Nutrien | 34.33 Bn | 30.90 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.04 Bn | 20.10 Bn | 1.76 Bn |
| 8 | Ati | 24.72 Bn | 22.67 Bn | 380.20 Mn |
| 9 | Qnity Electronics | 24.47 Bn | 20.62 Bn | 743.00 Mn |
| 10 | Dow | 23.74 Bn | 7.70 Bn | 1.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 199.00 Mn |
| Jun 30, 2026 | 214.00 Mn |
| Mar 31, 2026 | 273.00 Mn |
| Dec 31, 2025 | 155.00 Mn |
| Sep 30, 2025 | 200.00 Mn |
| Jun 30, 2025 | 122.00 Mn |
| Mar 31, 2025 | 234.00 Mn |
| Dec 31, 2024 | 171.00 Mn |
| Sep 30, 2024 | 264.00 Mn |
| Jun 30, 2024 | 207.00 Mn |
| Mar 31, 2024 | 4.00 Bn |
| Dec 31, 2023 | 151.00 Mn |
| Sep 30, 2023 | 3.70 Bn |
| Jun 30, 2023 | 493.00 Mn |
| Mar 31, 2023 | 543.00 Mn |
| Dec 31, 2022 | 477.00 Mn |
| Sep 30, 2022 | 622.00 Mn |
| Jun 30, 2022 | 703.00 Mn |
| Mar 31, 2022 | 776.00 Mn |
| Dec 31, 2021 | 831.00 Mn |
LyondellBasell Industries Other Accumulated Expenses 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=other-accumulated-expenses&ticker=LYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LYB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=LYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();