Huntington Ingalls Industries (HII) Selling, General & Administrative (2010 - 2026)
Analysis
Huntington Ingalls Industries (HII) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 1.11 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.92 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 1.20 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 722.00 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 504.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 120.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 1.08 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 1.04 Bn |
| 10 | Huntington Ingalls Industries | 11.42 Bn | 10.03 Bn | 1.44 Bn | 257.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 257.00 Mn |
| Jun 30, 2026 | 242.00 Mn |
| Mar 31, 2026 | 258.00 Mn |
| Dec 31, 2025 | 245.00 Mn |
| Sep 30, 2025 | 245.00 Mn |
| Jun 30, 2025 | 241.00 Mn |
| Mar 31, 2025 | 246.00 Mn |
| Dec 31, 2024 | 234.00 Mn |
| Sep 30, 2024 | 252.00 Mn |
| Jun 30, 2024 | 255.00 Mn |
| Mar 31, 2024 | 232.00 Mn |
| Dec 31, 2023 | 311.00 Mn |
| Sep 30, 2023 | 253.00 Mn |
| Jun 30, 2023 | 238.00 Mn |
| Mar 31, 2023 | 220.00 Mn |
| Dec 31, 2022 | 236.00 Mn |
| Sep 30, 2022 | 244.00 Mn |
| Jun 30, 2022 | 227.00 Mn |
| Mar 31, 2022 | 217.00 Mn |
| Dec 31, 2021 | 262.00 Mn |
API Access
Huntington Ingalls Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=HII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();