Hexcel (HXL) Operating Expenses (2009 - 2026)
Hexcel's Operating Expenses was $64.5 million in Q2 2026, up 12.6% from $57.3 million a year earlier but down 4.0% from the prior quarter.
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Analysis
Hexcel (HXL) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hexcel's Operating Expenses was $242.7 million through Jun 30, 2026, up 5.8% year-over-year; for FY2025, it came in at $225.4 million, down 3.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $233.7 million in FY2024 (+7.9%), $216.5 million in FY2023 (+11.7%), $193.8 million in FY2022 (+7.6%) and $180.1 million in FY2021 (+7.4%).
- Quarterly Operating Expenses has moved between $40.6 million (Q3 2022) and $67.2 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 5.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 20.3%); the worst was Q1 2025 (a decline of 10.9%).
- Per Business Quant data, HXL's Operating Expenses in the three quarters before Q2 2026 was $67.2 million (Q1 2026), $55.9 million (Q4 2025) and $55.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Hexcel | 6.35 Bn | 6.07 Bn | 138.10 Mn | 64.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.50 Mn |
| Mar 31, 2026 | 67.20 Mn |
| Dec 31, 2025 | 55.90 Mn |
| Sep 30, 2025 | 55.10 Mn |
| Jun 30, 2025 | 57.30 Mn |
| Mar 31, 2025 | 57.10 Mn |
| Dec 31, 2024 | 61.40 Mn |
| Sep 30, 2024 | 53.60 Mn |
| Jun 30, 2024 | 54.60 Mn |
| Mar 31, 2024 | 64.10 Mn |
| Dec 31, 2023 | 54.00 Mn |
| Sep 30, 2023 | 48.80 Mn |
| Jun 30, 2023 | 49.00 Mn |
| Mar 31, 2023 | 64.70 Mn |
| Dec 31, 2022 | 52.80 Mn |
| Sep 30, 2022 | 40.60 Mn |
| Jun 30, 2022 | 44.80 Mn |
| Mar 31, 2022 | 55.60 Mn |
| Dec 31, 2021 | 43.90 Mn |
| Sep 30, 2021 | 42.40 Mn |
API Access
Hexcel Operating 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=operating-expenses&ticker=HXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();