EHang Holdings (EH) Operating Leases (2018 - 2026)
EHang Holdings (EH) posted Operating Leases of $17.65 million for the quarter ended Jun 30, 2026, up 7.3% from $16.45 million a year earlier but down 1.3% from the prior quarter.
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Analysis
EHang Holdings (EH) Operating Leases (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, EHang Holdings' Operating Leases came in at $16.34 million, down 5.1% from the prior year.
- In prior years, EHang Holdings' Operating Leases was $17.22 million in the year ended Dec 31, 2024 (+62.4%), $10.61 million in the year ended Dec 31, 2023 (+4.6%), $10.14 million in the year ended Dec 31, 2022 and -$546,000 in the year ended Dec 31, 2021.
- Quarterly Operating Leases has run from a low of $156,410 in the quarter ended Dec 31, 2021 to a high of $17.87 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Operating Leases increased in six of the last eight quarters, with growth averaging 20.4%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Jun 30, 2023, with growth of 689.4%; the weakest was the quarter ended Dec 31, 2025, with a decline of 8.0%.
- According to Business Quant data, Operating Leases for the three prior quarters was $17.87 million (quarter ended Mar 31, 2026), $16.11 million (quarter ended Dec 31, 2025) and $16.24 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.65 Mn |
| Mar 31, 2026 | 17.87 Mn |
| Dec 31, 2025 | 16.11 Mn |
| Sep 30, 2025 | 16.24 Mn |
| Jun 30, 2025 | 16.45 Mn |
| Mar 31, 2025 | 16.57 Mn |
| Dec 31, 2024 | 17.50 Mn |
| Sep 30, 2024 | 17.55 Mn |
| Jun 30, 2024 | 16.39 Mn |
| Mar 31, 2024 | 12.96 Mn |
| Dec 31, 2023 | 10.46 Mn |
| Sep 30, 2023 | 10.44 Mn |
| Jun 30, 2023 | 9.77 Mn |
| Mar 31, 2023 | 10.15 Mn |
| Dec 31, 2022 | 9.83 Mn |
| Sep 30, 2022 | 9.87 Mn |
| Jun 30, 2022 | 1.24 Mn |
| Mar 31, 2022 | 1.68 Mn |
| Dec 31, 2021 | 156,409.59 |
| Dec 31, 2020 | -772,271.89 |
API Access
EHang Holdings 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=EH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-leases&ticker=EH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();