Huntington Ingalls Industries (HII) EPS (Diluted) (2010 - 2026)
Huntington Ingalls Industries (HII) posted EPS (Diluted) of $5.27 for Q2 2026, up 36.5% from $3.86 a year earlier and up 38.9% from the prior quarter.
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Analysis
Huntington Ingalls Industries (HII) EPS (Diluted) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Huntington Ingalls Industries was $16.73, up 25.6% year-over-year; for FY2025, it was $15.39, up 10.3% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In prior years, Huntington Ingalls Industries' EPS (Diluted) was $13.96 in FY2024 (-18.2%), $17.07 in FY2023 (+18.2%), $14.44 in FY2022 (+7.0%) and $13.50 in FY2021 (-21.3%).
- The Q2 2026 figure stands as the highest quarterly EPS (Diluted) since Q4 2023.
- On a year-over-year basis, EPS (Diluted) increased in three of the last eight quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q4 2023, with growth of 123.9%; the weakest was Q4 2024, with a decline of 54.5%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $3.79 (Q1 2026), $4.05 (Q4 2025) and $3.68 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 2.26 |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.57 |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 7.94 |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.33 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 4.24 |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.33 |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 7.68 |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 17.83 |
| 10 | Huntington Ingalls Industries | 10.13 Bn | 8.81 Bn | 1.43 Bn | 5.27 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.27 |
| Mar 31, 2026 | 3.79 |
| Dec 31, 2025 | 4.05 |
| Sep 30, 2025 | 3.68 |
| Jun 30, 2025 | 3.86 |
| Mar 31, 2025 | 3.79 |
| Dec 31, 2024 | 3.12 |
| Sep 30, 2024 | 2.56 |
| Jun 30, 2024 | 4.38 |
| Mar 31, 2024 | 3.87 |
| Dec 31, 2023 | 6.87 |
| Sep 30, 2023 | 3.70 |
| Jun 30, 2023 | 3.27 |
| Mar 31, 2023 | 3.23 |
| Dec 31, 2022 | 3.07 |
| Sep 30, 2022 | 3.44 |
| Jun 30, 2022 | 4.44 |
| Mar 31, 2022 | 3.50 |
| Dec 31, 2021 | 2.98 |
| Sep 30, 2021 | 3.65 |
API Access
Huntington Ingalls Industries EPS (Diluted) 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=eps-diluted&ticker=HII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();