Elbit Systems (ESLT) Prepaid Assets (2009 - 2026)
Elbit Systems' Prepaid Assets was $498.92 million in the quarter ended Jun 30, 2026, up 12.4% from $443.73 million a year earlier but down 3.6% from the prior quarter.
Elbit Systems (ESLT) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Prepaid Assets at Elbit Systems came in at $457.39 million, up 23.0% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of 24.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Prepaid Assets was $371.92 million in the year ended Dec 31, 2024 (+30.3%), $285.35 million in the year ended Dec 31, 2023 (-4.5%), $298.7 million in the year ended Dec 31, 2022 (+7.0%) and $279.23 million in the year ended Dec 31, 2021 (+78.6%).
- Quarterly Prepaid Assets has moved between $276.02 million (the quarter ended Mar 31, 2022) and $517.46 million (the quarter ended Mar 31, 2026) over five years.
- Compared with a year earlier, Prepaid Assets has increased for nine straight quarters, with growth averaging 26.9% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Dec 31, 2021 (growth of 78.6%); the worst was the quarter ended Sep 30, 2023 (a decline of 15.6%).
- Per Business Quant data, ESLT's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $517.46 million (quarter ended Mar 31, 2026), $457.39 million (quarter ended Dec 31, 2025) and $404.94 million (quarter ended Sep 30, 2025).
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 | Elbit Systems | 33.98 Bn | 30.54 Bn | 579.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 498.92 Mn |
| Mar 31, 2026 | 517.46 Mn |
| Dec 31, 2025 | 457.39 Mn |
| Sep 30, 2025 | 404.94 Mn |
| Jun 30, 2025 | 443.73 Mn |
| Mar 31, 2025 | 323.16 Mn |
| Dec 31, 2024 | 371.92 Mn |
| Sep 30, 2024 | 363.00 Mn |
| Jun 30, 2024 | 317.34 Mn |
| Mar 31, 2024 | 294.74 Mn |
| Dec 31, 2023 | 285.35 Mn |
| Sep 30, 2023 | 282.97 Mn |
| Jun 30, 2023 | 297.41 Mn |
| Mar 31, 2023 | 314.93 Mn |
| Dec 31, 2022 | 298.70 Mn |
| Sep 30, 2022 | 335.39 Mn |
| Jun 30, 2022 | 296.43 Mn |
| Mar 31, 2022 | 276.02 Mn |
| Dec 31, 2021 | 279.23 Mn |
| Sep 30, 2021 | 284.95 Mn |
Elbit Systems Prepaid Assets 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=prepaid-assets&ticker=ESLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=ESLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();