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.
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Analysis
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 Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.04 Mn |
| Mar 31, 2026 | 29.38 Mn |
| Dec 31, 2025 | 37.14 Mn |
| Sep 30, 2025 | 26.60 Mn |
| Jun 30, 2025 | 24.68 Mn |
| Mar 31, 2025 | 17.11 Mn |
| Dec 31, 2024 | 20.91 Mn |
| Sep 30, 2024 | 16.84 Mn |
| Jun 30, 2024 | 14.21 Mn |
| Mar 31, 2024 | 11.14 Mn |
| Dec 31, 2023 | 13.08 Mn |
| Sep 30, 2023 | 11.25 Mn |
| Jun 30, 2023 | 12.95 Mn |
| Mar 31, 2023 | 14.56 Mn |
| Dec 31, 2022 | 13.75 Mn |
| Sep 30, 2022 | 9.81 Mn |
| Jun 30, 2022 | 10.64 Mn |
| Mar 31, 2022 | 9.18 Mn |
| Dec 31, 2021 | 9.67 Mn |
| Sep 30, 2021 | 8.10 Mn |
API Access
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_KEYimport 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();