Leidos Holdings (LDOS) EV to EBIT (2010 - 2026)
Leidos Holdings' (LDOS) EV to EBIT was 6.39 for Q2 2027, down 35.7% from 9.93 a year earlier and down 31.9% from the prior quarter.
Leidos Holdings (LDOS) EV to EBIT (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Leidos Holdings' EV to EBIT came in at 5.13, down 40.0% year-over-year; for FY2026, it was 10.49, up 3.6% from FY2025.
- By year, EV to EBIT came in at 10.13 in FY2025, 22.72 in FY2023 (+77.2%) and 12.82 in FY2022 (+25.5%).
- The Q2 2027 figure ranks as the lowest quarterly EV to EBIT since Q4 2013.
- Year over year, EV to EBIT gained in three of the last six quarters, with an average decline of 22.2%.
- Per Business Quant data, the three quarters before Q2 2027 came in at 9.38 (Q1 2027), 10.49 (Q4 2026) and 11.70 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Leidos Holdings | 15.29 Bn | 12.06 Bn | 817.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 6.39 |
| Apr 3, 2026 | 9.38 |
| Jan 2, 2026 | 10.49 |
| Oct 3, 2025 | 11.70 |
| Jul 4, 2025 | 9.93 |
| Apr 4, 2025 | 8.41 |
| Jan 3, 2025 | 10.13 |
| Sep 27, 2024 | 11.46 |
| Jun 28, 2024 | 20.72 |
| Mar 29, 2024 | 22.33 |
| Dec 29, 2023 | 22.72 |
| Sep 29, 2023 | 22.82 |
| Jun 30, 2023 | 10.38 |
| Mar 31, 2023 | 11.36 |
| Dec 30, 2022 | 12.82 |
| Sep 30, 2022 | 10.27 |
| Jul 1, 2022 | 12.31 |
| Apr 1, 2022 | 13.09 |
| Dec 31, 2021 | 10.22 |
| Oct 1, 2021 | 10.66 |
Leidos Holdings EV to EBIT 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=ev-to-ebit&ticker=LDOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=LDOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();