EHang Holdings (EH) Prepaid Assets (2018 - 2026)
EHang Holdings (EH) recorded Prepaid Assets of $22.54 million in the quarter ended Jun 30, 2026, up 134.0% from $9.63 million a year earlier and up 8.5% from the prior quarter.
EHang Holdings (EH) Prepaid Assets (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, EHang Holdings reported Prepaid Assets of $2.19 million, down 76.6% from the prior year.
- Annual Prepaid Assets has a five-year compound annual growth rate of -7.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Prepaid Assets came in at $9.36 million in the year ended Dec 31, 2024 (+169.1%), $3.48 million in the year ended Dec 31, 2023 (-46.9%), $6.55 million in the year ended Dec 31, 2022 (+42.0%) and $4.61 million in the year ended Dec 31, 2021 (+40.5%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Prepaid Assets in data going back to the quarter ended Dec 31, 2018.
- On a year-over-year basis, Prepaid Assets rose in five of the last six quarters, with growth averaging 163.9%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 377.6% in the quarter ended Sep 30, 2025, against a decline of 55.3% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $20.78 million (quarter ended Mar 31, 2026), $19.87 million (quarter ended Dec 31, 2025) and $20.28 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | EHang Holdings | 309.46 Mn | -272.39 Mn | 7.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.54 Mn |
| Mar 31, 2026 | 20.78 Mn |
| Dec 31, 2025 | 19.87 Mn |
| Sep 30, 2025 | 20.28 Mn |
| Jun 30, 2025 | 9.63 Mn |
| Mar 31, 2025 | 7.09 Mn |
| Sep 30, 2024 | 4.25 Mn |
| Jun 30, 2024 | 2.97 Mn |
| Mar 31, 2024 | 3.74 Mn |
| Dec 31, 2023 | 3.43 Mn |
| Sep 30, 2023 | 6.58 Mn |
| Jun 30, 2023 | 6.64 Mn |
| Mar 31, 2023 | 6.23 Mn |
| Dec 31, 2022 | 6.35 Mn |
| Sep 30, 2022 | 6.84 Mn |
| Jun 30, 2022 | 5.10 Mn |
| Mar 31, 2022 | 7.55 Mn |
| Dec 31, 2021 | 4.60 Mn |
| Sep 30, 2021 | 5.34 Mn |
| Jun 30, 2021 | 4.84 Mn |
EHang Holdings 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=EH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=EH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();