LGI Homes (LGIH) Return on Sales [ROS] (2012 - 2026)
LGI Homes (LGIH) reported Return on Sales [ROS] of 14.17% for Q2 2026, up 6.06 percentage points from 8.11% a year earlier and up 14.35 percentage points from the prior quarter.
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Analysis
LGI Homes (LGIH) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LGI Homes' Return on Sales [ROS] came in at 6.60%, down 1.49 percentage points year-over-year; for FY2025, it was 4.68%, down 4.95 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -10.72 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 9.63% in FY2024 (-0.26 pp), 9.89% in FY2023 (-7.04 pp), 16.93% in FY2022 (-1.03 pp) and 17.96% in FY2021 (+2.55 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q3 2022.
- Year over year, Return on Sales [ROS] gained in 1 of the last eight quarters, with an average year-over-year change of -1.98 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2026 (a gain of 6.06 percentage points); the low point was Q1 2023 (a drop of 12.18 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -0.18% (Q1 2026), 3.91% (Q4 2025) and 5.42% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 12.52% |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 16.95% |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | -86.60% |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 14.38% |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 13.51% |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 16.70% |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - | - |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | - |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 16.42% |
| 10 | LGI Homes | 1.12 Bn | 874.00 Mn | 101.70 Mn | 14.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.17% |
| Mar 31, 2026 | -0.18% |
| Dec 31, 2025 | 3.91% |
| Sep 30, 2025 | 5.42% |
| Jun 30, 2025 | 8.11% |
| Mar 31, 2025 | 0.05% |
| Dec 31, 2024 | 8.18% |
| Sep 30, 2024 | 12.32% |
| Jun 30, 2024 | 11.21% |
| Mar 31, 2024 | 4.79% |
| Dec 31, 2023 | 9.84% |
| Sep 30, 2023 | 13.32% |
| Jun 30, 2023 | 10.09% |
| Mar 31, 2023 | 5.35% |
| Dec 31, 2022 | 8.36% |
| Sep 30, 2022 | 17.29% |
| Jun 30, 2022 | 21.99% |
| Mar 31, 2022 | 17.53% |
| Dec 31, 2021 | 17.64% |
| Sep 30, 2021 | 18.35% |
API Access
LGI Homes Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LGIH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();