Huntington Ingalls Industries (HII) Other Operating Expenses (2022 - 2025)
Huntington Ingalls Industries (HII) recorded Other Operating Expenses of $2 million in Q4 2025.
Analysis
Huntington Ingalls Industries (HII) Other Operating Expenses (2022 - 2025) Analysis & Trends
For FY2025, Huntington Ingalls Industries reported Other Operating Expenses of $3 million, down 66.7% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $9 million in FY2024 (-92.5%), $120 million in FY2023, $1 million in FY2022 (-50.0%) and $2 million in FY2021 (+100.0%).
- The Q4 2025 figure is the highest quarterly Other Operating Expenses in data going back to Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 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 |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Huntington Ingalls Industries | 10.54 Bn | 9.22 Bn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.00 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | -1.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | -1.00 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | -1.00 Mn |
API Access
Huntington Ingalls Industries Other 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=other-operating-expenses&ticker=HII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();