Huntington Ingalls Industries (HII) EBIT (2010 - 2026)
Huntington Ingalls Industries (HII) posted EBIT of $210 million for Q2 2026, up 28.8% from $163 million a year earlier and up 35.5% from the prior quarter.
Huntington Ingalls Industries (HII) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Huntington Ingalls Industries was $698 million, up 35.3% year-over-year; for FY2025, it came in at $657 million, up 22.8% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In prior years, Huntington Ingalls Industries' EBIT was $535 million in FY2024 (-31.5%), $781 million in FY2023 (+38.2%), $565 million in FY2022 (+10.1%) and $513 million in FY2021 (-35.8%).
- The Q2 2026 figure stands as the highest quarterly EBIT since Q4 2023.
- On a year-over-year basis, EBIT increased in four of the last eight quarters, with growth averaging 6.4%.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2023, with growth of 197.1%; the weakest was Q4 2024, with a decline of 64.7%.
- According to Business Quant data, EBIT for the three prior quarters was $155 million (Q1 2026), $172 million (Q4 2025) and $161 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -6.18 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 2.81 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 2.48 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 711.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.46 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 809.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.10 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.79 Bn |
| 10 | Huntington Ingalls Industries | 10.54 Bn | 9.22 Bn | 1.43 Bn | 210.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 210.00 Mn |
| Mar 31, 2026 | 155.00 Mn |
| Dec 31, 2025 | 172.00 Mn |
| Sep 30, 2025 | 161.00 Mn |
| Jun 30, 2025 | 163.00 Mn |
| Mar 31, 2025 | 161.00 Mn |
| Dec 31, 2024 | 110.00 Mn |
| Sep 30, 2024 | 82.00 Mn |
| Jun 30, 2024 | 189.00 Mn |
| Mar 31, 2024 | 154.00 Mn |
| Dec 31, 2023 | 312.00 Mn |
| Sep 30, 2023 | 172.00 Mn |
| Jun 30, 2023 | 156.00 Mn |
| Mar 31, 2023 | 141.00 Mn |
| Dec 31, 2022 | 105.00 Mn |
| Sep 30, 2022 | 131.00 Mn |
| Jun 30, 2022 | 191.00 Mn |
| Mar 31, 2022 | 138.00 Mn |
| Dec 31, 2021 | 120.00 Mn |
| Sep 30, 2021 | 118.00 Mn |
Huntington Ingalls Industries EBIT 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=ebit&ticker=HII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();