Elbit Systems (ESLT) Price to Sales (2009 - 2026)
Elbit Systems' (ESLT) Price to Sales came in at 4.12 for the quarter ended Jun 30, 2026, up 54.8% from 2.66 a year earlier but down 13.9% from the prior quarter.
Elbit Systems (ESLT) Price to Sales (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Elbit Systems' Price to Sales stood at 3.38, up 100.7% from the prior year.
- Annual Price to Sales has increased for three consecutive years.
- In prior years, Elbit Systems' Price to Sales was 1.68 in the year ended Dec 31, 2024 (+6.4%), 1.58 in the year ended Dec 31, 2023 (+19.9%), 1.32 in the year ended Dec 31, 2022 (-9.6%) and 1.46 in the year ended Dec 31, 2021 (+17.7%).
- Quarterly Price to Sales has run from a low of 1.24 in the quarter ended Sep 30, 2021 to a high of 4.79 in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Price to Sales has increased in each of the last seven quarters, with growth averaging 67.7% over the last eight quarters.
- The strongest year-over-year quarter for Price to Sales in the past five years was the quarter ended Sep 30, 2025, with growth of 116.3%; the weakest was the quarter ended Jun 30, 2024, with a decline of 23.6%.
- According to Business Quant data, Price to Sales for the three prior quarters was 4.79 (quarter ended Mar 31, 2026), 3.38 (quarter ended Dec 31, 2025) and 2.94 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn |
| 10 | Elbit Systems | 32.31 Bn | 28.87 Bn | 579.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 |
| Mar 31, 2026 | 4.79 |
| Dec 31, 2025 | 3.38 |
| Sep 30, 2025 | 2.94 |
| Jun 30, 2025 | 2.66 |
| Mar 31, 2025 | 2.38 |
| Dec 31, 2024 | 1.68 |
| Sep 30, 2024 | 1.36 |
| Jun 30, 2024 | 1.24 |
| Mar 31, 2024 | 1.52 |
| Dec 31, 2023 | 1.58 |
| Sep 30, 2023 | 1.50 |
| Jun 30, 2023 | 1.62 |
| Mar 31, 2023 | 1.36 |
| Dec 31, 2022 | 1.32 |
| Sep 30, 2022 | 1.53 |
| Jun 30, 2022 | 1.84 |
| Mar 31, 2022 | 1.77 |
| Dec 31, 2021 | 1.46 |
| Sep 30, 2021 | 1.24 |
Elbit Systems Price to Sales 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=price-to-sales&ticker=ESLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "ESLT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-sales&ticker=ESLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();