LGI Homes (LGIH) Change in Inventory (2012 - 2026)
LGI Homes' Change in Inventory came in at -$79.21 million for Q2 2026, compared with $53.7 million a year earlier.
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Analysis
LGI Homes (LGIH) Change in Inventory (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LGI Homes reported Change in Inventory of $36.62 million, down 88.5% year-over-year; for FY2025, it came in at $257.04 million, down 29.7% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 29.6% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $365.89 million in FY2024 (+43.2%), $255.52 million in FY2023 (-69.0%), $823.92 million in FY2022 (+77.7%) and $463.64 million in FY2021 (+560.2%).
- The five-year range for quarterly Change in Inventory is -$90.21 million (Q4 2025) to $295.97 million (Q2 2022).
- Year-over-year, Change in Inventory increased in two of the last five quarters, with an average decline of 24.4%.
- The fastest year-over-year change in Change in Inventory over five years came in Q4 2021 (growth of 725.4%), and the weakest in Q2 2023 (a decline of 96.8%).
- Business Quant data shows LGIH's Change in Inventory at $99.06 million (Q1 2026), -$90.21 million (Q4 2025) and $106.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 38.33 Bn | 29.22 Bn | 2.15 Bn | 532.90 Mn |
| 2 | Pultegroup | 21.75 Bn | 15.04 Bn | 1.06 Bn | 430.91 Mn |
| 3 | Lennar | 17.19 Bn | 6.61 Bn | 807.31 Mn | 436.85 Mn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn | 296.78 Mn |
| 5 | Toll Brothers | 12.42 Bn | 7.81 Bn | 625.22 Mn | 328.54 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 127.34 Mn |
| 7 | Champion Homes | 4.74 Bn | 2.22 Bn | - | - |
| 8 | Cavco Industries | 4.34 Bn | 3.09 Bn | - | - |
| 9 | Meritage Homes | 4.10 Bn | 1.02 Bn | 513.60 Mn | -98.28 Mn |
| 10 | LGI Homes | 1.08 Bn | 839.13 Mn | 101.70 Mn | -79.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -79.21 Mn |
| Mar 31, 2026 | 99.06 Mn |
| Dec 31, 2025 | -90.21 Mn |
| Sep 30, 2025 | 106.98 Mn |
| Jun 30, 2025 | 53.70 Mn |
| Mar 31, 2025 | 186.58 Mn |
| Dec 31, 2024 | -25.01 Mn |
| Sep 30, 2024 | 103.67 Mn |
| Jun 30, 2024 | 147.64 Mn |
| Mar 31, 2024 | 139.59 Mn |
| Dec 31, 2023 | 61.16 Mn |
| Sep 30, 2023 | 200.80 Mn |
| Jun 30, 2023 | 9.51 Mn |
| Mar 31, 2023 | -15.95 Mn |
| Dec 31, 2022 | 32.24 Mn |
| Sep 30, 2022 | 244.10 Mn |
| Jun 30, 2022 | 295.97 Mn |
| Mar 31, 2022 | 251.61 Mn |
| Dec 31, 2021 | 177.02 Mn |
| Sep 30, 2021 | 127.92 Mn |
API Access
LGI Homes 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=LGIH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "LGIH", "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=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();