Hexcel (HXL) Long-Term Debt Repayments (2009 - 2026)
Hexcel (HXL) recorded Long-Term Debt Repayments of $5 million in Q2 2026, down 83.3% from $30 million a year earlier and down 98.4% from the prior quarter.
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Analysis
Hexcel (HXL) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Hexcel's Long-Term Debt Repayments came in at $470 million as of Jun 30, 2026, up 147.4% year-over-year; for FY2025, it came in at $185 million, up 15.6% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -18.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $160 million in FY2024 (-14.9%), $188 million in FY2023 (+25.3%), $150 million in FY2022 (+45.6%) and $103 million in FY2021 (-79.7%).
- The Q2 2026 figure is the lowest quarterly Long-Term Debt Repayments since Q2 2019.
- On a year-over-year basis, Long-Term Debt Repayments rose in three of the last five quarters, with growth averaging 27.2%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 557.1% in Q2 2022, against a decline of 88.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $310 million (Q1 2026), $85 million (Q4 2025) and $70 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn | - |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn | - |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn | 214.00 Mn |
| 10 | Hexcel | 6.20 Bn | 5.94 Bn | 115.50 Mn | -400,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -400,000.00 |
| Jun 30, 2026 | 200,000.00 |
| Dec 31, 2025 | -99.90 Mn |
| Sep 30, 2025 | 104.30 Mn |
| Jun 30, 2025 | -4.40 Mn |
| Mar 31, 2025 | 4.20 Mn |
| Dec 31, 2024 | -55.40 Mn |
| Sep 30, 2024 | 55.20 Mn |
| Jun 30, 2024 | -200,000.00 |
| Mar 31, 2024 | 100,000.00 |
| Dec 31, 2023 | 100,000.00 |
| Sep 30, 2023 | 100,000.00 |
| Jun 30, 2023 | -20.10 Mn |
| Mar 31, 2023 | 20.10 Mn |
| Dec 31, 2022 | 200,000.00 |
| Sep 30, 2022 | 200,000.00 |
| Jun 30, 2022 | -100,000.00 |
| Mar 31, 2022 | 300,000.00 |
| Dec 31, 2021 | -48.80 Mn |
| Sep 30, 2021 | 28.30 Mn |
API Access
Hexcel 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=HXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "HXL", "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=HXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();