Howmet Aerospace (HWM) Operating Expenses (2009 - 2026)
Howmet Aerospace (HWM) reported Operating Expenses of $156 million for Q2 2026, up 59.2% from $98 million a year earlier and up 477.8% from the prior quarter.
Howmet Aerospace (HWM) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Howmet Aerospace's Operating Expenses came in at $487 million, up 33.8% year-over-year; for FY2025, it came in at $739 million, up 14.8% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $644 million in FY2024 (+2.5%), $628 million in FY2023 (+4.1%), $603 million in FY2022 (+2.2%) and $590 million in FY2021 (-17.1%).
- Five-year quarterly Operating Expenses spans a low of $27 million in Q1 2026 and a high of $194 million in Q4 2025.
- Year over year, Operating Expenses gained in three of the last eight quarters, with growth averaging 9.9%.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 131.0%); the low point was Q1 2026 (a decline of 69.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27 million (Q1 2026), $194 million (Q4 2025) and $110 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | 332.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.00 Mn |
| Mar 31, 2026 | 27.00 Mn |
| Dec 31, 2025 | 194.00 Mn |
| Sep 30, 2025 | 110.00 Mn |
| Jun 30, 2025 | 98.00 Mn |
| Mar 31, 2025 | 89.00 Mn |
| Dec 31, 2024 | 84.00 Mn |
| Sep 30, 2024 | 93.00 Mn |
| Jun 30, 2024 | 126.00 Mn |
| Mar 31, 2024 | 98.00 Mn |
| Dec 31, 2023 | 107.00 Mn |
| Sep 30, 2023 | 100.00 Mn |
| Jun 30, 2023 | 100.00 Mn |
| Mar 31, 2023 | 85.00 Mn |
| Dec 31, 2022 | 116.00 Mn |
| Sep 30, 2022 | 84.00 Mn |
| Jun 30, 2022 | 98.00 Mn |
| Mar 31, 2022 | 78.00 Mn |
| Dec 31, 2021 | 133.00 Mn |
| Sep 30, 2021 | 82.00 Mn |
Howmet Aerospace 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=HWM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HWM", "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=HWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();