Huntington Ingalls Industries (HII) Depreciation and Depletion (2010 - 2026)
Huntington Ingalls Industries (HII) reported Depreciation and Depletion of $57 million for Q2 2026, up 1.8% from $56 million a year earlier and up 3.6% from the prior quarter.
Huntington Ingalls Industries (HII) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Huntington Ingalls Industries' Depreciation and Depletion came in at $227 million, up 2.7% year-over-year; for FY2025, it came in at $225 million, up 3.7% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $217 million in FY2024 (-0.9%), $219 million in FY2023 (+0.5%), $218 million in FY2022 (+5.3%) and $207 million in FY2021 (+8.4%).
- Five-year quarterly Depreciation and Depletion spans a low of $52 million in Q3 2021 and a high of $61 million in Q4 2025.
- Year over year, Depreciation and Depletion has now increased in each of the last three quarters, with growth averaging 2.7% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2021 (growth of 18.2%); the low point was Q4 2023 (a decline of 6.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $55 million (Q1 2026), $61 million (Q4 2025) and $54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Huntington Ingalls Industries | 10.58 Bn | 9.27 Bn | 1.43 Bn | 57.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.00 Mn |
| Mar 31, 2026 | 55.00 Mn |
| Dec 31, 2025 | 61.00 Mn |
| Sep 30, 2025 | 54.00 Mn |
| Jun 30, 2025 | 56.00 Mn |
| Mar 31, 2025 | 54.00 Mn |
| Dec 31, 2024 | 57.00 Mn |
| Sep 30, 2024 | 54.00 Mn |
| Jun 30, 2024 | 53.00 Mn |
| Mar 31, 2024 | 53.00 Mn |
| Dec 31, 2023 | 56.00 Mn |
| Sep 30, 2023 | 53.00 Mn |
| Jun 30, 2023 | 55.00 Mn |
| Mar 31, 2023 | 55.00 Mn |
| Dec 31, 2022 | 60.00 Mn |
| Sep 30, 2022 | 54.00 Mn |
| Jun 30, 2022 | 52.00 Mn |
| Mar 31, 2022 | 52.00 Mn |
| Dec 31, 2021 | 53.00 Mn |
| Sep 30, 2021 | 52.00 Mn |
Huntington Ingalls Industries Depreciation and Depletion 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=depreciation-and-depletion&ticker=HII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=HII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();