Intergroup (INTG) Price to Book (2011 - 2013)
Intergroup's (INTG) Price to Book was 5.64 for fiscal Q1 2014 (quarter ended Sep 30, 2013), down 7.9% from 6.13 a year earlier and down 57.3% from the prior quarter.
Intergroup (INTG) Price to Book (2011 - 2013) Analysis & Trends
For FY2013 (ended Jun 30, 2013), Price to Book at Intergroup was 13.21, down 19.1% from FY2012.
- By fiscal year, Price to Book came in at 16.33 in FY2012 (+77.6%) and 9.19 in FY2011.
- The fiscal Q1 2014 figure ranks as the lowest quarterly Price to Book since fiscal Q2 2012.
- Year over year, Price to Book gained in two of the last five quarters, with growth averaging 15.1%.
- Per Business Quant data, the three fiscal quarters before Q1 2014 came in at 13.21 (Q4 2013), 7.27 (Q3 2013) and 6.22 (Q2 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn |
| 10 | Intergroup | 89.71 Mn | 25.58 Mn | 7.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 5.64 |
| Jun 30, 2013 | 13.21 |
| Mar 31, 2013 | 7.27 |
| Dec 31, 2012 | 6.22 |
| Sep 30, 2012 | 6.13 |
| Jun 30, 2012 | 16.33 |
| Mar 31, 2012 | 5.34 |
| Dec 31, 2011 | 4.95 |
| Sep 30, 2011 | 6.18 |
| Jun 30, 2011 | 9.19 |
Intergroup Price to Book 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=price-to-book&ticker=INTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "INTG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=INTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();