Hexcel (HXL) Interest Expenses (2009 - 2026)
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Analysis
Hexcel (HXL) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 49.40 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 138.00 Mn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 173.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 71.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 46.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 210.00 Mn |
| 10 | Hexcel | 6.14 Bn | 5.88 Bn | 115.50 Mn | 12.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.10 Mn |
| Jun 30, 2026 | 12.00 Mn |
| Mar 31, 2026 | 11.80 Mn |
| Dec 31, 2025 | 11.60 Mn |
| Sep 30, 2025 | 9.20 Mn |
| Jun 30, 2025 | 9.10 Mn |
| Mar 31, 2025 | 7.80 Mn |
| Dec 31, 2024 | 8.10 Mn |
| Sep 30, 2024 | 8.50 Mn |
| Jun 30, 2024 | 8.10 Mn |
| Mar 31, 2024 | 6.50 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jun 30, 2023 | 9.20 Mn |
| Mar 31, 2023 | 9.40 Mn |
| Dec 31, 2022 | 9.20 Mn |
| Sep 30, 2022 | 9.00 Mn |
| Jun 30, 2022 | 8.90 Mn |
| Mar 31, 2022 | 9.10 Mn |
| Dec 31, 2021 | 9.20 Mn |
API Access
Hexcel Interest 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=interest-expenses&ticker=HXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=HXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();