Lucid (LCID) Change in Inventory (2020 - 2026)
Lucid's Change in Inventory was $269.16 million in Q2 2026, down 29.1% from $379.57 million a year earlier and down 53.3% from the prior quarter.
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Analysis
Lucid (LCID) Change in Inventory (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lucid's Change in Inventory was $1.71 billion through Jun 30, 2026, up 104.2% year-over-year; for FY2025, it was $1.45 billion, up 333.5% from FY2024.
- Change in Inventory shows a five-year compound annual growth rate of 426.3% (FY2020 to FY2025).
- In earlier years, Change in Inventory was $334.24 million in FY2024 (-49.2%), $658.01 million in FY2023 (-47.6%), $1.26 billion in FY2022 (+617.5%) and $175.09 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Change in Inventory since Q1 2025.
- Compared with a year earlier, Change in Inventory was higher in seven of the last eight quarters, with growth averaging 259.9%.
- The best year-over-year quarter for Change in Inventory over five years was Q1 2025 (growth of 883.1%); the worst was Q1 2024 (a decline of 94.1%).
- Per Business Quant data, LCID's Change in Inventory in the three quarters before Q2 2026 was $576.4 million (Q1 2026), $416.47 million (Q4 2025) and $446.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | -592.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | - |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | -96.15 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 98.16 Mn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 352.00 Mn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 135.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | - |
| 10 | Lucid | 1.60 Bn | -3.82 Bn | -426.73 Mn | 269.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269.16 Mn |
| Mar 31, 2026 | 576.40 Mn |
| Dec 31, 2025 | 416.47 Mn |
| Sep 30, 2025 | 446.56 Mn |
| Jun 30, 2025 | 379.57 Mn |
| Mar 31, 2025 | 206.47 Mn |
| Dec 31, 2024 | 112.85 Mn |
| Sep 30, 2024 | 137.98 Mn |
| Jun 30, 2024 | 62.41 Mn |
| Mar 31, 2024 | 21.00 Mn |
| Dec 31, 2023 | 82.08 Mn |
| Sep 30, 2023 | 127.97 Mn |
| Jun 30, 2023 | 93.81 Mn |
| Mar 31, 2023 | 354.15 Mn |
| Dec 31, 2022 | 350.30 Mn |
| Sep 30, 2022 | 302.20 Mn |
| Jun 30, 2022 | 300.83 Mn |
| Mar 31, 2022 | 303.02 Mn |
| Dec 31, 2021 | 114.98 Mn |
| Sep 30, 2021 | 32.93 Mn |
API Access
Lucid Change in Inventory 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=change-in-inventory&ticker=LCID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=LCID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();