Celanese (CE) Long-Term Debt Repayments (2009 - 2026)
Celanese (CE) recorded Long-Term Debt Repayments of $468 million in Q3 2026, up 106.2% from $227 million a year earlier but down 22.8% from the prior quarter.
Celanese (CE) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Celanese's Long-Term Debt Repayments came in at $2.68 billion as of Sep 30, 2026, down 12.8% year-over-year; for FY2025, it was $4.65 billion, up 350.3% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 174.2% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $1.03 billion in FY2024 (-71.8%), $3.66 billion in FY2023 (+595.8%), $526 million in FY2022 (-33.1%) and $786 million in FY2021.
- Quarterly Long-Term Debt Repayments has ranged from $6 million in Q2 2023 to $3.48 billion in Q3 2023 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last five quarters, with an average decline of 47.7%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 106.2% in Q3 2026, against a decline of 99.5% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $606 million (Q2 2026), $15 million (Q1 2026) and $1.59 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 1.01 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 376.00 Mn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 500.00 Mn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | - |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | - |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 366.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 359.00 Mn |
| 10 | Celanese | 5.18 Bn | -565.68 Mn | 539.00 Mn | 468.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 468.00 Mn |
| Jun 30, 2026 | 606.00 Mn |
| Mar 31, 2026 | 15.00 Mn |
| Dec 31, 2025 | 1.59 Bn |
| Sep 30, 2025 | 227.00 Mn |
| Jun 30, 2025 | 17.00 Mn |
| Mar 31, 2025 | 2.82 Bn |
| Dec 31, 2024 | 14.00 Mn |
| Sep 30, 2024 | 534.00 Mn |
| Jun 30, 2024 | 479.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 163.00 Mn |
| Sep 30, 2023 | 3.48 Bn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | 505.00 Mn |
| Sep 30, 2022 | 7.00 Mn |
| Jun 30, 2022 | 7.00 Mn |
| Mar 31, 2022 | 7.00 Mn |
| Dec 31, 2021 | 8.00 Mn |
Celanese Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=CE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();