ECARX Holdings (ECX) Accumulated Expenses (2021 - 2026)
ECARX Holdings' Accumulated Expenses was $79.3 million in the quarter ended Jun 30, 2026, up 9.4% from $72.45 million a year earlier and up 12.0% from the prior quarter.
ECARX Holdings (ECX) Accumulated Expenses (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at ECARX Holdings came in at $88.9 million, up 4.0% from the prior year.
- Accumulated Expenses shows a four-year compound annual growth rate of -4.5% (years ended Dec 2021 to Dec 2025).
- In earlier years, Accumulated Expenses was $85.48 million in the year ended Dec 31, 2024 (-1.2%), $86.56 million in the year ended Dec 31, 2023 (-19.2%), $107.09 million in the year ended Dec 31, 2022 (unchanged) and $107.09 million in the year ended Dec 31, 2021.
- Quarterly Accumulated Expenses has moved between $58.48 million (the quarter ended Jun 30, 2024) and $115.52 million (the quarter ended Dec 31, 2021) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in seven of the last eight quarters, with growth averaging 9.2%.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Mar 31, 2025 (growth of 29.6%); the worst was the quarter ended Dec 31, 2023 (a decline of 22.7%).
- Per Business Quant data, ECX's Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $70.8 million (quarter ended Mar 31, 2026), $88.9 million (quarter ended Dec 31, 2025) and $75.1 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Aurora Innovation | 11.07 Bn | 6.10 Bn | -5.00 Mn |
| 2 | Mobileye Global | 6.05 Bn | -61.98 Mn | 235.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn |
| 4 | WeRide | 1.82 Bn | -1.20 Bn | 12.76 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - |
| 6 | Serve Robotics | 402.21 Mn | 402.21 Mn | -8.78 Mn |
| 7 | Kodiak AI | 372.81 Mn | -135.31 Mn | - |
| 8 | Richtech Robotics | 354.53 Mn | 354.53 Mn | 802,000.00 |
| 9 | ECARX Holdings | 326.03 Mn | -35.79 Mn | 44.50 Mn |
| 10 | Palladyne AI | 253.58 Mn | 61.95 Mn | 1.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.30 Mn |
| Mar 31, 2026 | 70.80 Mn |
| Dec 31, 2025 | 88.90 Mn |
| Sep 30, 2025 | 75.10 Mn |
| Jun 30, 2025 | 72.45 Mn |
| Mar 31, 2025 | 77.10 Mn |
| Dec 31, 2024 | 87.23 Mn |
| Sep 30, 2024 | 70.30 Mn |
| Jun 30, 2024 | 58.48 Mn |
| Mar 31, 2024 | 59.50 Mn |
| Dec 31, 2023 | 85.35 Mn |
| Sep 30, 2023 | 65.00 Mn |
| Jun 30, 2023 | 70.60 Mn |
| Mar 31, 2023 | 73.30 Mn |
| Dec 31, 2022 | 110.39 Mn |
| Dec 31, 2021 | 115.52 Mn |
ECARX 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=ECX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ECX", "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=ECX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();