Lucid (LCID) Total Non-Current Liabilities (2020 - 2026)
Lucid (LCID) posted Total Non-Current Liabilities of $8.16 billion for Q2 2026, up 39.2% from $5.86 billion a year earlier and up 12.6% from the prior quarter.
Lucid (LCID) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Lucid's Total Non-Current Liabilities came in at $7.09 billion, up 38.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- In prior years, Lucid's Total Non-Current Liabilities was $5.14 billion in FY2024 (+63.7%), $3.14 billion in FY2023 (-0.5%), $3.15 billion in FY2022 (-16.7%) and $3.78 billion in FY2021 (+41.1%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last ten quarters, with growth averaging 41.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 196.3%; the weakest was Q1 2022, with a decline of 36.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $7.24 billion (Q1 2026), $7.09 billion (Q4 2025) and $6.45 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 5.53 Bn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 118.34 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 219.21 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 3.36 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | 8.76 Bn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 73.67 Bn |
| 10 | Lucid | 1.23 Bn | -4.20 Bn | -426.73 Mn | 7.99 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.99 Bn |
| Mar 31, 2026 | 7.24 Bn |
| Dec 31, 2025 | 7.07 Bn |
| Sep 30, 2025 | 6.17 Bn |
| Jun 30, 2025 | 5.61 Bn |
| Mar 31, 2025 | 5.08 Bn |
| Dec 31, 2024 | 4.54 Bn |
| Sep 30, 2024 | 4.31 Bn |
| Jun 30, 2024 | 3.76 Bn |
| Mar 31, 2024 | 3.64 Bn |
| Dec 31, 2023 | 3.14 Bn |
| Sep 30, 2023 | 3.19 Bn |
| Jun 30, 2023 | 3.10 Bn |
| Mar 31, 2023 | 3.27 Bn |
| Dec 31, 2022 | 3.15 Bn |
| Sep 30, 2022 | 3.29 Bn |
| Jun 30, 2022 | 3.19 Bn |
| Mar 31, 2022 | 3.38 Bn |
| Dec 31, 2021 | 3.78 Bn |
| Sep 30, 2021 | 1.11 Bn |
Lucid Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LCID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=LCID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();