EHang Holdings (EH) Accumulated Expenses (2018 - 2026)
EHang Holdings' Accumulated Expenses was $25.04 million in the quarter ended Jun 30, 2026, up 1.5% from $24.68 million a year earlier but down 14.8% from the prior quarter.
EHang Holdings (EH) Accumulated Expenses (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at EHang Holdings came in at $37.67 million, up 83.1% from the prior year.
- Accumulated Expenses shows a five-year compound annual growth rate of 24.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $20.58 million in the year ended Dec 31, 2024 (+55.2%), $13.26 million in the year ended Dec 31, 2023 (-6.4%), $14.18 million in the year ended Dec 31, 2022 (+46.0%) and $9.71 million in the year ended Dec 31, 2021 (-22.4%).
- Quarterly Accumulated Expenses has moved between $8.1 million (the quarter ended Sep 30, 2021) and $37.14 million (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for nine straight quarters, with growth averaging 55.7% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Dec 31, 2025 (growth of 77.6%); the worst was the quarter ended Sep 30, 2021 (a decline of 29.1%).
- Per Business Quant data, EH's Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $29.38 million (quarter ended Mar 31, 2026), $37.14 million (quarter ended Dec 31, 2025) and $26.6 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,888.97 Bn | 1,650.69 Bn | 9.10 Bn |
| 2 | General Electric | 342.82 Bn | 301.57 Bn | 5.02 Bn |
| 3 | Rtx | 267.90 Bn | 237.89 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 137.70 Bn | 121.94 Bn | 2.44 Bn |
| 5 | Boeing | 135.95 Bn | 44.93 Bn | 2.17 Bn |
| 6 | General Dynamics | 98.18 Bn | 83.41 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.93 Bn | 84.41 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.90 Bn | 83.65 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 78.19 Bn | 65.65 Bn | 2.35 Bn |
| 10 | EHang Holdings | 271.33 Mn | -313.72 Mn | 7.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.04 Mn |
| Mar 31, 2026 | 29.38 Mn |
| Dec 31, 2025 | 37.66 Mn |
| Sep 30, 2025 | 26.60 Mn |
| Jun 30, 2025 | 24.68 Mn |
| Mar 31, 2025 | 17.11 Mn |
| Dec 31, 2024 | 20.58 Mn |
| Sep 30, 2024 | 16.84 Mn |
| Jun 30, 2024 | 14.21 Mn |
| Mar 31, 2024 | 11.14 Mn |
| Dec 31, 2023 | 13.25 Mn |
| Sep 30, 2023 | 11.25 Mn |
| Jun 30, 2023 | 12.95 Mn |
| Mar 31, 2023 | 14.56 Mn |
| Dec 31, 2022 | 14.04 Mn |
| Sep 30, 2022 | 9.81 Mn |
| Jun 30, 2022 | 10.64 Mn |
| Mar 31, 2022 | 9.18 Mn |
| Dec 31, 2021 | 9.71 Mn |
| Sep 30, 2021 | 8.10 Mn |
EHang Holdings Accumulated Expenses 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=accumulated-expenses&ticker=EH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=EH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();