Lucid (LCID) Other Non-Current Assets (2020 - 2026)
Lucid's Other Non-Current Assets was $436.23 million in Q2 2026, up 42.5% from $306.1 million a year earlier and up 2.5% from the prior quarter.
Lucid (LCID) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Assets at Lucid came in at $354.98 million, up 42.3% from FY2024.
- Other Non-Current Assets has now increased for five consecutive years, with a five-year compound annual growth rate of 67.6% (FY2020 to FY2025).
- In earlier years, Other Non-Current Assets was $249.44 million in FY2024 (+38.1%), $180.63 million in FY2023 (+226.6%), $55.3 million in FY2022 (+80.7%) and $30.61 million in FY2021 (+14.0%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Assets in data going back to Q2 2020.
- Compared with a year earlier, Other Non-Current Assets has increased for 16 straight quarters, with growth averaging 46.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Non-Current Assets ranged from 13.1% (Q3 2024) to 277.6% (Q1 2023).
- Per Business Quant data, LCID's Other Non-Current Assets in the three quarters before Q2 2026 was $425.7 million (Q1 2026), $354.98 million (Q4 2025) and $355.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,231.10 Bn | 1,057.12 Bn | 4.75 Bn | 9.45 Bn |
| 2 | Ferrari | 70.90 Bn | 63.39 Bn | 1.18 Bn | - |
| 3 | General Motors | 67.40 Bn | -37.21 Bn | 9.28 Bn | 9.50 Bn |
| 4 | Ford Motor | 47.78 Bn | -94.71 Bn | 6.08 Bn | 13.52 Bn |
| 5 | Honda Motor | 46.11 Bn | -103.70 Bn | 8.46 Bn | 3.24 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 4.89 Bn |
| 7 | Magna International | 18.23 Bn | 12.25 Bn | 1.61 Bn | 1.18 Bn |
| 8 | Rivian Automotive | 15.97 Bn | -7.34 Bn | 179.00 Mn | 560.00 Mn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn | 11.42 Mn |
| 10 | Lucid | 1.33 Bn | -4.10 Bn | -426.73 Mn | 436.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 436.23 Mn |
| Mar 31, 2026 | 425.70 Mn |
| Dec 31, 2025 | 354.98 Mn |
| Sep 30, 2025 | 355.20 Mn |
| Jun 30, 2025 | 306.10 Mn |
| Mar 31, 2025 | 294.50 Mn |
| Dec 31, 2024 | 249.44 Mn |
| Sep 30, 2024 | 198.28 Mn |
| Jun 30, 2024 | 204.05 Mn |
| Mar 31, 2024 | 185.35 Mn |
| Dec 31, 2023 | 180.63 Mn |
| Sep 30, 2023 | 175.30 Mn |
| Jun 30, 2023 | 171.59 Mn |
| Mar 31, 2023 | 163.30 Mn |
| Dec 31, 2022 | 55.30 Mn |
| Sep 30, 2022 | 51.49 Mn |
| Jun 30, 2022 | 71.23 Mn |
| Mar 31, 2022 | 43.24 Mn |
| Dec 31, 2021 | 30.61 Mn |
| Sep 30, 2021 | 42.70 Mn |
Lucid Other Non-Current 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=other-non-current-assets&ticker=LCID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "ticker": "LCID", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-assets&ticker=LCID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();