Huntington Ingalls Industries (HII) EBIT (2010 - 2026)
Huntington Ingalls Industries (HII) posted EBIT of $246 million for Q3 2026, up 52.8% from $161 million a year earlier and up 17.1% from the prior quarter.
Huntington Ingalls Industries (HII) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBIT at Huntington Ingalls Industries was $783 million, up 31.6% 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 Q3 2026 figure stands as the highest quarterly EBIT since Q4 2023.
- On a year-over-year basis, EBIT increased in five of the last eight quarters, with growth averaging 19.6%.
- 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 $210 million (Q2 2026), $155 million (Q1 2026) and $172 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 336.12 Bn | 294.63 Bn | 5.02 Bn | -6.72 Bn |
| 2 | Rtx | 264.33 Bn | 232.60 Bn | 5.81 Bn | 3.34 Bn |
| 3 | Boeing | 139.84 Bn | 48.80 Bn | 2.17 Bn | 354.00 Mn |
| 4 | Lockheed Martin | 137.71 Bn | 121.94 Bn | 2.44 Bn | 2.44 Bn |
| 5 | General Dynamics | 98.23 Bn | 85.34 Bn | 2.18 Bn | 1.46 Bn |
| 6 | Howmet Aerospace | 82.45 Bn | 78.21 Bn | 1.00 Bn | 777.00 Mn |
| 7 | Motorola Solutions | 81.25 Bn | 77.59 Bn | 1.68 Bn | 809.00 Mn |
| 8 | Northrop Grumman | 74.91 Bn | 62.37 Bn | 2.35 Bn | 1.27 Bn |
| 9 | Honeywell International | 72.19 Bn | 24.32 Bn | 3.65 Bn | 1.79 Bn |
| 10 | Huntington Ingalls Industries | 11.80 Bn | 10.41 Bn | 1.44 Bn | 246.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 246.00 Mn |
| 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 |
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();