Elbit Systems (ESLT) Operating Leases (2019 - 2026)
Elbit Systems' Operating Leases was $96.96 million in the quarter ended Jun 30, 2026, up 4.2% from $93.04 million a year earlier and up 1.6% from the prior quarter.
Elbit Systems (ESLT) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at Elbit Systems came in at $98.46 million, up 16.0% from the prior year.
- Operating Leases shows a five-year compound annual growth rate of 8.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Leases was $84.91 million in the year ended Dec 31, 2024 (+26.0%), $67.39 million in the year ended Dec 31, 2023 (-2.8%), $69.32 million in the year ended Dec 31, 2022 (-9.7%) and $76.78 million in the year ended Dec 31, 2021 (+17.2%).
- Quarterly Operating Leases has moved between $62.85 million (the quarter ended Sep 30, 2023) and $379.61 million (the quarter ended Mar 31, 2022) over five years.
- Compared with a year earlier, Operating Leases has increased for ten straight quarters, with growth averaging 19.8% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Sep 30, 2021 (growth of 519.0%); the worst was the quarter ended Mar 31, 2023 (a decline of 82.6%).
- Per Business Quant data, ESLT's Operating Leases in the three quarters before the quarter ended Jun 30, 2026 was $95.43 million (quarter ended Mar 31, 2026), $98.46 million (quarter ended Dec 31, 2025) and $96.68 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 304.51 Bn | 263.03 Bn | 5.02 Bn |
| 2 | Rtx | 256.23 Bn | 224.50 Bn | 5.81 Bn |
| 3 | Boeing | 151.53 Bn | 58.22 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.17 Bn | 112.90 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.30 Bn | 80.42 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 82.36 Bn | 77.97 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.49 Bn | 73.84 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.53 Bn | 63.99 Bn | 2.35 Bn |
| 9 | Honeywell International | 67.96 Bn | 20.09 Bn | 3.65 Bn |
| 10 | Elbit Systems | 34.06 Bn | 30.62 Bn | 579.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.96 Mn |
| Mar 31, 2026 | 95.43 Mn |
| Dec 31, 2025 | 476.74 Mn |
| Sep 30, 2025 | 96.68 Mn |
| Jun 30, 2025 | 93.04 Mn |
| Mar 31, 2025 | 84.17 Mn |
| Dec 31, 2024 | 454.06 Mn |
| Sep 30, 2024 | 78.59 Mn |
| Jun 30, 2024 | 72.49 Mn |
| Mar 31, 2024 | 68.74 Mn |
| Dec 31, 2023 | 363.10 Mn |
| Sep 30, 2023 | 62.85 Mn |
| Jun 30, 2023 | 64.23 Mn |
| Mar 31, 2023 | 66.20 Mn |
| Dec 31, 2022 | 344.59 Mn |
| Sep 30, 2022 | 70.74 Mn |
| Jun 30, 2022 | 71.32 Mn |
| Mar 31, 2022 | 379.61 Mn |
| Dec 31, 2021 | 386.64 Mn |
| Sep 30, 2021 | 376.73 Mn |
Elbit Systems Operating Leases 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=operating-leases&ticker=ESLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ESLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();