LGI Homes (LGIH) Cash & Equivalents (2012 - 2026)
LGI Homes (LGIH) reported Cash & Equivalents of $61.08 million for Q2 2026, up 2.6% from $59.56 million a year earlier and up 0.4% from the prior quarter.
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Analysis
LGI Homes (LGIH) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, LGI Homes posted Cash & Equivalents of $61.25 million, up 15.1% from FY2024.
- Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $53.2 million in FY2024 (+8.6%), $48.98 million in FY2023 (+53.1%), $32 million in FY2022 (-36.7%) and $50.51 million in FY2021 (+40.5%).
- Five-year quarterly Cash & Equivalents spans a low of $32 million in Q4 2022 and a high of $61.98 million in Q3 2025.
- Year over year, Cash & Equivalents has now increased in each of the last 11 quarters, with growth averaging 12.2% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2023 (growth of 53.1%); the low point was Q2 2022 (a decline of 62.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $60.86 million (Q1 2026), $61.25 million (Q4 2025) and $61.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 2.13 Bn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 1.38 Bn |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | 1.43 Bn |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 1.14 Bn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 1.06 Bn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 653.43 Mn |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - | 638.26 Mn |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | 236.72 Mn |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 807.27 Mn |
| 10 | LGI Homes | 1.12 Bn | 874.00 Mn | 101.70 Mn | 61.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.08 Mn |
| Mar 31, 2026 | 60.86 Mn |
| Dec 31, 2025 | 61.25 Mn |
| Sep 30, 2025 | 61.98 Mn |
| Jun 30, 2025 | 59.56 Mn |
| Mar 31, 2025 | 57.60 Mn |
| Dec 31, 2024 | 53.20 Mn |
| Sep 30, 2024 | 60.90 Mn |
| Jun 30, 2024 | 51.07 Mn |
| Mar 31, 2024 | 49.00 Mn |
| Dec 31, 2023 | 48.98 Mn |
| Sep 30, 2023 | 46.98 Mn |
| Jun 30, 2023 | 43.33 Mn |
| Mar 31, 2023 | 42.97 Mn |
| Dec 31, 2022 | 32.00 Mn |
| Sep 30, 2022 | 52.66 Mn |
| Jun 30, 2022 | 41.97 Mn |
| Mar 31, 2022 | 53.33 Mn |
| Dec 31, 2021 | 50.51 Mn |
| Sep 30, 2021 | 46.72 Mn |
API Access
LGI Homes Cash & Equivalents 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=cash-and-equivalents&ticker=LGIH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();