LGI Homes (LGIH) Non Operating Interest Expenses (2012 - 2013)
LGI Homes (LGIH) posted Non Operating Interest Expenses of $4,000 for Q4 2013, compared with -$34,767 a year earlier and down 90.2% from the prior quarter.
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Analysis
LGI Homes (LGIH) Non Operating Interest Expenses (2012 - 2013) Analysis & Trends
For FY2013, LGI Homes' Non Operating Interest Expenses came in at $51,000.
- In prior years, LGI Homes' Non Operating Interest Expenses was $1,000 in FY2012 (-96.4%) and $28,152 in FY2011.
- Quarterly Non Operating Interest Expenses has run from a low of -$34,767 in Q4 2012 to a high of $41,000 in Q3 2013 over five years.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $41,000 (Q3 2013), $1,000 (Q2 2013) and $4,000 (Q1 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | - |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | - |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | - |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 6.99 Mn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | - |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | - |
| 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 | 2.19 Mn |
| 10 | LGI Homes | 1.12 Bn | 874.00 Mn | 101.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 4,000.00 |
| Sep 30, 2013 | 41,000.00 |
| Jun 30, 2013 | 1,000.00 |
| Mar 31, 2013 | 4,000.00 |
| Dec 31, 2012 | -34,767.00 |
| Sep 30, 2012 | 11,083.00 |
API Access
LGI Homes Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=LGIH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();