Huntington Ingalls Industries (HII) Cost of Revenue (2010 - 2026)
Huntington Ingalls Industries' Cost of Revenue came in at $1.99 billion for Q2 2026, up 17.0% from $1.7 billion a year earlier and up 14.0% from the prior quarter.
Huntington Ingalls Industries (HII) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Huntington Ingalls Industries reported Cost of Revenue of $7.66 billion, up 18.2% year-over-year; for FY2025, it came in at $7.08 billion, up 8.9% from FY2024.
- Cost of Revenue has increased in each of the last three years, though with a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $6.5 billion in FY2024 (+0.5%), $6.47 billion in FY2023 (+3.9%), $6.23 billion in FY2022 (-23.7%) and $8.16 billion in FY2021 (+6.0%).
- The five-year range for quarterly Cost of Revenue is -$655 million (Q4 2023) to $2.4 billion (Q3 2023).
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 5.2% over the last seven quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2026 (growth of 20.0%), and the weakest in Q3 2024 (a decline of 35.2%).
- Business Quant data shows HII's Cost of Revenue at $1.74 billion (Q1 2026), $2.12 billion (Q4 2025) and $1.82 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Huntington Ingalls Industries | 10.58 Bn | 9.27 Bn | 1.43 Bn | 1.99 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Bn |
| Mar 31, 2026 | 1.74 Bn |
| Dec 31, 2025 | 2.12 Bn |
| Sep 30, 2025 | 1.82 Bn |
| Jun 30, 2025 | 1.70 Bn |
| Mar 31, 2025 | 1.45 Bn |
| Dec 31, 2024 | 1.78 Bn |
| Sep 30, 2024 | 1.56 Bn |
| Jun 30, 2024 | 1.63 Bn |
| Mar 31, 2024 | 1.54 Bn |
| Dec 31, 2023 | -655.00 Mn |
| Sep 30, 2023 | 2.40 Bn |
| Jun 30, 2023 | 2.40 Bn |
| Mar 31, 2023 | 2.32 Bn |
| Dec 31, 2022 | -538.00 Mn |
| Sep 30, 2022 | 2.26 Bn |
| Jun 30, 2022 | 2.27 Bn |
| Mar 31, 2022 | 2.23 Bn |
| Dec 31, 2021 | 2.30 Bn |
| Sep 30, 2021 | 2.01 Bn |
Huntington Ingalls Industries Cost of 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=cost-of-revenue&ticker=HII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();