Celanese (CE) EV to EBITDA (2009 - 2026)
Celanese's (CE) EV to EBITDA was 24.58 for Q2 2026, down 98.1% from 1328.43 a year earlier and down 72.4% from the prior quarter.
Celanese (CE) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Celanese's EV to EBITDA came in at -2.13; for FY2024, it came in at 68.34, up 954.6% from FY2023.
- By year, EV to EBITDA came in at 6.48 in FY2023 (+19.7%), 5.42 in FY2022 (-29.9%), 7.73 in FY2021 (-42.5%) and 13.45 in FY2020 (+9.5%).
- The Q2 2026 figure ranks as the lowest quarterly EV to EBITDA since Q3 2024.
- Year over year, EV to EBITDA gained in two of the last four quarters, with growth averaging 195.6%.
- The high point for year-over-year EV to EBITDA in five years was Q4 2024 (growth of 896.6%); the low point was Q2 2026 (a decline of 98.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 230.94 Bn | 212.51 Bn | 4.43 Bn |
| 2 | Corning | 116.37 Bn | 108.94 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.13 Bn | 81.17 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 67.18 Bn | 62.37 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 40.49 Bn | 30.00 Bn | 2.04 Bn |
| 6 | Nutrien | 32.85 Bn | 29.68 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 25.25 Bn | 22.39 Bn | 666.00 Mn |
| 8 | Ati | 24.82 Bn | 22.84 Bn | 309.80 Mn |
| 9 | Ppg Industries | 24.37 Bn | 17.03 Bn | 1.81 Bn |
| 10 | Celanese | 5.16 Bn | -663.88 Mn | 618.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.58 |
| Mar 31, 2026 | 89.04 |
| Jun 30, 2025 | 1,328.43 |
| Mar 31, 2025 | 203.17 |
| Dec 31, 2024 | 64.57 |
| Sep 30, 2024 | 8.18 |
| Jun 30, 2024 | 5.97 |
| Mar 31, 2024 | 7.36 |
| Dec 31, 2023 | 6.48 |
| Sep 30, 2023 | 5.83 |
| Jun 30, 2023 | 7.48 |
| Mar 31, 2023 | 6.76 |
| Dec 31, 2022 | 5.42 |
| Sep 30, 2022 | 0.21 |
| Jun 30, 2022 | 4.97 |
| Mar 31, 2022 | 5.98 |
| Dec 31, 2021 | 7.73 |
| Sep 30, 2021 | 7.71 |
| Jun 30, 2021 | 9.80 |
| Mar 31, 2021 | 13.93 |
Celanese EV to EBITDA 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=ev-to-ebitda&ticker=CE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=CE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();