EHang Holdings (EH) Current Leases (2018 - 2026)
EHang Holdings' Current Leases was $3.95 million in the quarter ended Jun 30, 2026, up 68.3% from $2.35 million a year earlier and up 10.9% from the prior quarter.
EHang Holdings (EH) Current Leases (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Current Leases at EHang Holdings came in at $2.33 million, up 35.7% from the prior year.
- Current Leases shows a five-year compound annual growth rate of -29.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Current Leases was $1.72 million in the year ended Dec 31, 2024 (+117.8%), $788,000 in the year ended Dec 31, 2023 (-1.5%) and $800,000 in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Current Leases since the quarter ended Dec 31, 2020.
- Compared with a year earlier, Current Leases has increased for 11 straight quarters, with growth averaging 71.5% over the last eight quarters.
- The best year-over-year quarter for Current Leases over five years was the quarter ended Dec 31, 2024 (growth of 124.4%); the worst was the quarter ended Mar 31, 2023 (a decline of 62.4%).
- Per Business Quant data, EH's Current Leases in the three quarters before the quarter ended Jun 30, 2026 was $3.56 million (quarter ended Mar 31, 2026), $2.3 million (quarter ended Dec 31, 2025) and $2.41 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | - |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | - |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | - |
| 10 | EHang Holdings | 322.66 Mn | -259.19 Mn | 7.03 Mn | 3.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.95 Mn |
| Mar 31, 2026 | 3.56 Mn |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 2.41 Mn |
| Jun 30, 2025 | 2.35 Mn |
| Mar 31, 2025 | 2.11 Mn |
| Dec 31, 2024 | 1.74 Mn |
| Sep 30, 2024 | 1.56 Mn |
| Jun 30, 2024 | 1.41 Mn |
| Mar 31, 2024 | 1.02 Mn |
| Dec 31, 2023 | 777,074.97 |
| Sep 30, 2023 | 1.03 Mn |
| Jun 30, 2023 | 910,000.00 |
| Mar 31, 2023 | 677,000.00 |
| Dec 31, 2022 | 776,134.51 |
| Sep 30, 2022 | 1.56 Mn |
| Jun 30, 2022 | 1.66 Mn |
| Mar 31, 2022 | 1.80 Mn |
| Dec 31, 2020 | 13.14 Mn |
| Dec 31, 2019 | 15.37 Mn |
EHang Holdings Current 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=current-leases&ticker=EH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-leases", "ticker": "EH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-leases&ticker=EH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();