Huntington Ingalls Industries (HII) EBITDA (2010 - 2026)
Huntington Ingalls Industries' EBITDA was $321 million in Q3 2026, up 33.2% from $241 million a year earlier and up 11.1% from the prior quarter.
Huntington Ingalls Industries (HII) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huntington Ingalls Industries' EBITDA was $1.1 billion through Sep 30, 2026, up 19.4% year-over-year; for FY2025, it came in at $986 million, up 14.5% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $861 million in FY2024 (-24.2%), $1.14 billion in FY2023 (+22.0%), $931 million in FY2022 (+14.4%) and $814 million in FY2021 (-22.7%).
- The Q3 2026 figure marks the highest quarterly EBITDA since Q4 2023.
- Compared with a year earlier, EBITDA was higher in five of the last eight quarters, with growth averaging 8.6%.
- The best year-over-year quarter for EBITDA over five years was Q4 2023 (growth of 99.0%); the worst was Q4 2024 (a decline of 51.7%).
- Per Business Quant data, HII's EBITDA in the three quarters before Q3 2026 was $289 million (Q2 2026), $231 million (Q1 2026) and $259 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 326.33 Bn | 285.08 Bn | 5.02 Bn | -6.39 Bn |
| 2 | Rtx | 273.71 Bn | 243.69 Bn | 5.81 Bn | 4.41 Bn |
| 3 | Lockheed Martin | 148.55 Bn | 132.78 Bn | 2.44 Bn | 2.87 Bn |
| 4 | Boeing | 139.02 Bn | 47.99 Bn | 2.17 Bn | 938.00 Mn |
| 5 | General Dynamics | 101.06 Bn | 88.18 Bn | 2.18 Bn | 1.68 Bn |
| 6 | Howmet Aerospace | 84.75 Bn | 80.50 Bn | 1.00 Bn | 870.00 Mn |
| 7 | Motorola Solutions | 80.64 Bn | 77.00 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 78.91 Bn | 66.37 Bn | 2.35 Bn | 1.65 Bn |
| 9 | Honeywell International | 70.92 Bn | 23.37 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Huntington Ingalls Industries | 12.36 Bn | 10.97 Bn | 1.44 Bn | 321.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 321.00 Mn |
| Jun 30, 2026 | 289.00 Mn |
| Mar 31, 2026 | 231.00 Mn |
| Dec 31, 2025 | 259.00 Mn |
| Sep 30, 2025 | 241.00 Mn |
| Jun 30, 2025 | 246.00 Mn |
| Mar 31, 2025 | 240.00 Mn |
| Dec 31, 2024 | 194.00 Mn |
| Sep 30, 2024 | 164.00 Mn |
| Jun 30, 2024 | 269.00 Mn |
| Mar 31, 2024 | 236.00 Mn |
| Dec 31, 2023 | 402.00 Mn |
| Sep 30, 2023 | 259.00 Mn |
| Jun 30, 2023 | 245.00 Mn |
| Mar 31, 2023 | 230.00 Mn |
| Dec 31, 2022 | 202.00 Mn |
| Sep 30, 2022 | 222.00 Mn |
| Jun 30, 2022 | 280.00 Mn |
| Mar 31, 2022 | 227.00 Mn |
| Dec 31, 2021 | 213.00 Mn |
Huntington Ingalls Industries EBITDA 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=ebitda&ticker=HII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();