Huntington Ingalls Industries (HII) Operating Expenses (2010 - 2026)
Huntington Ingalls Industries (HII) posted Operating Expenses of $242 million for Q2 2026, up 0.4% from $241 million a year earlier but down 6.2% from the prior quarter.
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Analysis
Huntington Ingalls Industries (HII) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Huntington Ingalls Industries was $990 million, up 1.7% year-over-year; for FY2025, it was $977 million, up 0.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior years, Huntington Ingalls Industries' Operating Expenses was $973 million in FY2024 (-4.8%), $1.02 billion in FY2023 (+10.6%), $924 million in FY2022 (+2.9%) and $898 million in FY2021 (-0.7%).
- Quarterly Operating Expenses has run from a low of $217 million in Q1 2022 to a high of $311 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with an average decline of 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 31.8%; the weakest was Q4 2024, with a decline of 24.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $258 million (Q1 2026), $245 million (Q4 2025) and $245 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Huntington Ingalls Industries | 10.23 Bn | 8.92 Bn | 1.43 Bn | 242.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 242.00 Mn |
| Mar 31, 2026 | 258.00 Mn |
| Dec 31, 2025 | 245.00 Mn |
| Sep 30, 2025 | 245.00 Mn |
| Jun 30, 2025 | 241.00 Mn |
| Mar 31, 2025 | 246.00 Mn |
| Dec 31, 2024 | 234.00 Mn |
| Sep 30, 2024 | 252.00 Mn |
| Jun 30, 2024 | 255.00 Mn |
| Mar 31, 2024 | 232.00 Mn |
| Dec 31, 2023 | 311.00 Mn |
| Sep 30, 2023 | 253.00 Mn |
| Jun 30, 2023 | 238.00 Mn |
| Mar 31, 2023 | 220.00 Mn |
| Dec 31, 2022 | 236.00 Mn |
| Sep 30, 2022 | 244.00 Mn |
| Jun 30, 2022 | 227.00 Mn |
| Mar 31, 2022 | 217.00 Mn |
| Dec 31, 2021 | 262.00 Mn |
| Sep 30, 2021 | 226.00 Mn |
API Access
Huntington Ingalls Industries 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=HII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HII", "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=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();