ECARX Holdings (ECX) Accumulated Expenses (2021 - 2026)
ECARX Holdings' Accumulated Expenses was $100.1 million in the quarter ended Sep 30, 2026, up 33.3% from $75.1 million a year earlier and up 26.4% 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 $88.88 million, up 4.0% from the prior year.
- Accumulated Expenses shows a four-year compound annual growth rate of 5.4% (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 (+48.7%) and $72.03 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Sep 30, 2026 marks the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2022.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 12.2%.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Dec 31, 2022 (growth of 56.5%); the worst was the quarter ended Dec 31, 2023 (a decline of 23.3%).
- Per Business Quant data, ECX's Accumulated Expenses in the three quarters before the quarter ended Sep 30, 2026 was $79.22 million (quarter ended Jun 30, 2026), $70.8 million (quarter ended Mar 31, 2026) and $88.88 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Aurora Innovation | 8.48 Bn | 3.73 Bn | -5.00 Mn |
| 2 | Mobileye Global | 4.58 Bn | -1.60 Bn | 261.00 Mn |
| 3 | Pony AI | 1.93 Bn | -1.23 Bn | 6.35 Mn |
| 4 | NightFood Holdings | 1.28 Bn | 1.28 Bn | 1.61 Mn |
| 5 | WeRide | 1.28 Bn | -1.76 Bn | 12.76 Mn |
| 6 | Securetech Innovations | 267.50 Mn | 267.05 Mn | 887,754.00 |
| 7 | ECARX Holdings | 251.51 Mn | -42.61 Mn | 16.90 Mn |
| 8 | Serve Robotics | 229.41 Mn | -624.96 Mn | -7.56 Mn |
| 9 | Kodiak AI | 217.96 Mn | -257.60 Mn | - |
| 10 | Richtech Robotics | 170.53 Mn | -780.41 Mn | 802,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100.10 Mn |
| Jun 30, 2026 | 79.22 Mn |
| Mar 31, 2026 | 70.80 Mn |
| Dec 31, 2025 | 88.88 Mn |
| Sep 30, 2025 | 75.10 Mn |
| Jun 30, 2025 | 72.45 Mn |
| Mar 31, 2025 | 77.10 Mn |
| Dec 31, 2024 | 85.85 Mn |
| Sep 30, 2024 | 70.30 Mn |
| Jun 30, 2024 | 58.48 Mn |
| Mar 31, 2024 | 59.50 Mn |
| Dec 31, 2023 | 86.47 Mn |
| Sep 30, 2023 | 65.00 Mn |
| Jun 30, 2023 | 70.60 Mn |
| Mar 31, 2023 | 73.30 Mn |
| Dec 31, 2022 | 112.76 Mn |
| Dec 31, 2021 | 72.03 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();