LGI Homes (LGIH) Receivables (2012 - 2026)
LGI Homes (LGIH) posted Receivables of $33.85 million for Q2 2026, down 2.2% from $34.6 million a year earlier and down 24.8% from the prior quarter.
Analysis
LGI Homes (LGIH) Receivables (2012 - 2026) Analysis & Trends
At the end of FY2025, LGI Homes' Receivables came in at $32.47 million, up 13.1% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of -22.5% (FY2020 to FY2025).
- In prior years, LGI Homes' Receivables was $28.72 million in FY2024 (-30.5%), $41.32 million in FY2023 (+64.3%), $25.14 million in FY2022 (-56.6%) and $57.91 million in FY2021 (-50.1%).
- Quarterly Receivables has run from a low of $21.24 million in Q3 2025 to a high of $57.91 million in Q4 2021 over five years.
- On a year-over-year basis, Receivables increased in three of the last eight quarters, with growth averaging 3.6%.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2026, with growth of 107.2%; the weakest was Q3 2025, with a decline of 56.7%.
- According to Business Quant data, Receivables for the three prior quarters was $45.01 million (Q1 2026), $32.47 million (Q4 2025) and $21.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 38.33 Bn | 29.22 Bn | 2.15 Bn | 283.20 Mn |
| 2 | Pultegroup | 21.75 Bn | 15.04 Bn | 1.06 Bn | - |
| 3 | Lennar | 17.19 Bn | 6.61 Bn | 807.31 Mn | 1.47 Bn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn | 49.64 Mn |
| 5 | Toll Brothers | 12.42 Bn | 7.81 Bn | 625.22 Mn | 538.72 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | - |
| 7 | Champion Homes | 4.74 Bn | 2.22 Bn | - | 88.81 Mn |
| 8 | Cavco Industries | 4.34 Bn | 3.09 Bn | - | 108.29 Mn |
| 9 | Meritage Homes | 4.10 Bn | 1.02 Bn | 513.60 Mn | - |
| 10 | LGI Homes | 1.08 Bn | 839.13 Mn | 101.70 Mn | 33.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.85 Mn |
| Mar 31, 2026 | 45.01 Mn |
| Dec 31, 2025 | 32.47 Mn |
| Sep 30, 2025 | 21.24 Mn |
| Jun 30, 2025 | 34.60 Mn |
| Mar 31, 2025 | 21.73 Mn |
| Dec 31, 2024 | 28.72 Mn |
| Sep 30, 2024 | 49.02 Mn |
| Jun 30, 2024 | 43.21 Mn |
| Mar 31, 2024 | 27.15 Mn |
| Dec 31, 2023 | 41.32 Mn |
| Sep 30, 2023 | 35.65 Mn |
| Jun 30, 2023 | 48.17 Mn |
| Mar 31, 2023 | 21.87 Mn |
| Dec 31, 2022 | 25.14 Mn |
| Sep 30, 2022 | 37.45 Mn |
| Jun 30, 2022 | 52.11 Mn |
| Mar 31, 2022 | 48.49 Mn |
| Dec 31, 2021 | 57.91 Mn |
| Sep 30, 2021 | 49.17 Mn |
API Access
LGI Homes Receivables 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=receivables&ticker=LGIH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();