Lockheed Martin (LMT) Restructuring Costs (2015 - 2025)
Lockheed Martin (LMT) recorded Restructuring Costs of $66 million in FY2025, down 24.1% from $87 million in FY2024.
Analysis
Lockheed Martin (LMT) Restructuring Costs (2015 - 2025) Analysis & Trends
Starting with FY2015, Lockheed Martin's Restructuring Costs history includes 8 years.
- Annual Restructuring Costs has declined for three straight years, though with a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- The FY2025 figure is the lowest annual Restructuring Costs since FY2020.
- Per Business Quant data, LMT's Restructuring Costs was $87 million in FY2024 (-5.4%), $92 million in FY2023 (-8.0%) and $100 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2025 | 66.00 Mn |
| Jun 30, 2024 | 87.00 Mn |
| Dec 31, 2023 | 92.00 Mn |
| Dec 31, 2020 | 27.00 Mn |
| Jun 24, 2018 | 96.00 Mn |
| Mar 27, 2016 | 80.00 Mn |
| Dec 31, 2015 | 67.00 Mn |
| Sep 27, 2015 | 15.00 Mn |
API Access
Lockheed Martin Restructuring Costs 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=restructuring-costs&ticker=LMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "LMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=LMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();