Huntington Ingalls Industries (HII) Total Liabilities (2010 - 2026)
Huntington Ingalls Industries' Total Liabilities was $7.49 billion in Q3 2026, up 2.2% from $7.33 billion a year earlier and up 1.6% from the prior quarter.
Huntington Ingalls Industries (HII) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Huntington Ingalls Industries came in at $7.68 billion, up 2.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $7.48 billion in FY2024 (+5.0%), $7.12 billion in FY2023 (-3.3%), $7.37 billion in FY2022 (-5.8%) and $7.82 billion in FY2021 (+25.0%).
- Quarterly Total Liabilities has moved between $6.88 billion (Q3 2024) and $7.82 billion (Q4 2021) over five years.
- Compared with a year earlier, Total Liabilities has increased for eight straight quarters, with growth averaging 3.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2022 (growth of 25.9%); the worst was Q3 2023 (a decline of 9.0%).
- Per Business Quant data, HII's Total Liabilities in the three quarters before Q3 2026 was $7.37 billion (Q2 2026), $7.39 billion (Q1 2026) and $7.68 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 326.33 Bn | 285.08 Bn | 5.02 Bn | 109.44 Bn |
| 2 | Rtx | 273.71 Bn | 243.69 Bn | 5.81 Bn | 105.63 Bn |
| 3 | Lockheed Martin | 148.55 Bn | 132.78 Bn | 2.44 Bn | 54.45 Bn |
| 4 | Boeing | 139.02 Bn | 47.99 Bn | 2.17 Bn | 164.18 Bn |
| 5 | General Dynamics | 101.06 Bn | 88.18 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 84.75 Bn | 80.50 Bn | 1.00 Bn | 7.52 Bn |
| 7 | Motorola Solutions | 80.64 Bn | 77.00 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 78.91 Bn | 66.37 Bn | 2.35 Bn | 33.81 Bn |
| 9 | Honeywell International | 70.92 Bn | 23.37 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Huntington Ingalls Industries | 12.36 Bn | 10.97 Bn | 1.44 Bn | 7.49 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.49 Bn |
| Jun 30, 2026 | 7.37 Bn |
| Mar 31, 2026 | 7.39 Bn |
| Dec 31, 2025 | 7.68 Bn |
| Sep 30, 2025 | 7.33 Bn |
| Jun 30, 2025 | 7.22 Bn |
| Mar 31, 2025 | 7.33 Bn |
| Dec 31, 2024 | 7.48 Bn |
| Sep 30, 2024 | 6.88 Bn |
| Jun 30, 2024 | 7.13 Bn |
| Mar 31, 2024 | 7.04 Bn |
| Dec 31, 2023 | 7.12 Bn |
| Sep 30, 2023 | 6.89 Bn |
| Jun 30, 2023 | 7.21 Bn |
| Mar 31, 2023 | 7.29 Bn |
| Dec 31, 2022 | 7.37 Bn |
| Sep 30, 2022 | 7.57 Bn |
| Jun 30, 2022 | 7.63 Bn |
| Mar 31, 2022 | 7.74 Bn |
| Dec 31, 2021 | 7.82 Bn |
Huntington Ingalls Industries Total Liabilities 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=total-liabilities&ticker=HII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();