Huntington Ingalls Industries (HII) Revenue (2010 - 2026)
Huntington Ingalls Industries (HII) recorded Revenue of $3.42 billion in Q2 2026, up 10.9% from $3.08 billion a year earlier and up 10.3% from the prior quarter.
Huntington Ingalls Industries (HII) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Huntington Ingalls Industries' Revenue came in at $13.19 billion as of Jun 30, 2026, up 14.0% year-over-year; for FY2025, it was $12.48 billion, up 8.2% from FY2024.
- Annual Revenue has increased for 14 straight years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $11.54 billion in FY2024 (+0.7%), $11.45 billion in FY2023 (+7.3%), $10.68 billion in FY2022 (+12.1%) and $9.52 billion in FY2021 (+1.7%).
- Quarterly Revenue has ranged from $2.34 billion in Q3 2021 to $3.48 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Revenue has increased for five consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 19.3% in Q2 2022, against a decline of 5.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.1 billion (Q1 2026), $3.48 billion (Q4 2025) and $3.19 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Huntington Ingalls Industries | 10.54 Bn | 9.22 Bn | 1.43 Bn | 3.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.42 Bn |
| Mar 31, 2026 | 3.10 Bn |
| Dec 31, 2025 | 3.48 Bn |
| Sep 30, 2025 | 3.19 Bn |
| Jun 30, 2025 | 3.08 Bn |
| Mar 31, 2025 | 2.73 Bn |
| Dec 31, 2024 | 3.00 Bn |
| Sep 30, 2024 | 2.75 Bn |
| Jun 30, 2024 | 2.98 Bn |
| Mar 31, 2024 | 2.81 Bn |
| Dec 31, 2023 | 3.18 Bn |
| Sep 30, 2023 | 2.82 Bn |
| Jun 30, 2023 | 2.79 Bn |
| Mar 31, 2023 | 2.67 Bn |
| Dec 31, 2022 | 2.81 Bn |
| Sep 30, 2022 | 2.63 Bn |
| Jun 30, 2022 | 2.66 Bn |
| Mar 31, 2022 | 2.58 Bn |
| Dec 31, 2021 | 2.68 Bn |
| Sep 30, 2021 | 2.34 Bn |
Huntington Ingalls Industries Revenue 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=revenue&ticker=HII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();