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 | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 5.63 Bn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | 5.36 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 122.27 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Lucid | 1.60 Bn | -3.82 Bn | -426.73 Mn | 8.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.16 Bn |
| Mar 31, 2026 | 7.24 Bn |
| Dec 31, 2025 | 7.09 Bn |
| Sep 30, 2025 | 6.45 Bn |
| Jun 30, 2025 | 5.86 Bn |
| Mar 31, 2025 | 5.44 Bn |
| Dec 31, 2024 | 5.14 Bn |
| Sep 30, 2024 | 4.87 Bn |
| Jun 30, 2024 | 4.15 Bn |
| Mar 31, 2024 | 4.14 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();