Leidos Holdings (LDOS) Accumulated Expenses (2011 - 2026)
Leidos Holdings (LDOS) recorded Accumulated Expenses of $734 million in Q4 2026, down 16.9% from $883 million a year earlier.
Analysis
Leidos Holdings (LDOS) Accumulated Expenses (2011 - 2026) Analysis & Trends
Starting with Q4 2011, Leidos Holdings' Accumulated Expenses history includes 8 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- Across earlier years, Accumulated Expenses came in at $883 million in FY2025, $826 million in FY2023 (+7.0%) and $772 million in FY2022 (+3.3%).
- The Q4 2026 figure is the lowest quarterly Accumulated Expenses since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Leidos Holdings | 16.27 Bn | 12.98 Bn | 817.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 2, 2026 | 734.00 Mn |
| Jan 3, 2025 | 883.00 Mn |
| Dec 29, 2023 | 826.00 Mn |
| Dec 30, 2022 | 772.00 Mn |
| Dec 31, 2021 | 747.00 Mn |
| Jan 1, 2021 | 939.00 Mn |
| Jan 3, 2020 | 822.00 Mn |
| Dec 28, 2018 | 650.00 Mn |
| Dec 29, 2017 | 747.00 Mn |
| Mar 31, 2017 | 837.00 Mn |
| Dec 30, 2016 | 493.00 Mn |
| Jan 1, 2016 | 318.00 Mn |
| Jan 30, 2015 | 327.00 Mn |
| Jan 31, 2014 | 395.00 Mn |
| Jan 31, 2013 | 435.00 Mn |
| Jan 31, 2012 | 1.27 Bn |
| Jan 31, 2011 | 630.00 Mn |
API Access
Leidos Holdings Accumulated Expenses 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=accumulated-expenses&ticker=LDOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LDOS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LDOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();