Huntington Ingalls Industries (HII) Total Liabilities (2010 - 2026)
Huntington Ingalls Industries' Total Liabilities was $7.37 billion in Q2 2026, up 2.1% from $7.22 billion a year earlier but down 0.2% 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 $8.21 billion (Q3 2021) over five years.
- Compared with a year earlier, Total Liabilities has increased for seven straight quarters, with growth averaging 2.8% 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 Q2 2026 was $7.39 billion (Q1 2026), $7.68 billion (Q4 2025) and $7.33 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Huntington Ingalls Industries | 10.13 Bn | 8.81 Bn | 1.43 Bn | 7.37 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 8.21 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();