Intergroup (INTG) Price to Earnings (2011 - 2026)
Intergroup's (INTG) Price to Earnings came in at 62.80 for fiscal Q4 2026 (quarter ended Jun 30, 2026).
Analysis
Intergroup (INTG) Price to Earnings (2011 - 2026) Analysis & Trends
Since fiscal Q2 2012, Intergroup has reported Price to Earnings for 23 quarters.
- In prior fiscal years, Intergroup's Price to Earnings was 5.95 in FY2024.
- The fiscal Q4 2026 figure stands as the highest quarterly Price to Earnings since fiscal Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn |
| 10 | Intergroup | 59.97 Mn | 231,342.59 | 7.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.80 |
| Mar 31, 2026 | 18.95 |
| Dec 31, 2025 | 18.10 |
| Mar 31, 2022 | 633.94 |
| Dec 31, 2021 | 63.43 |
| Sep 30, 2021 | 26.48 |
| Jun 30, 2021 | 9.19 |
| Mar 31, 2021 | 21.60 |
| Dec 31, 2020 | 601.63 |
| Sep 30, 2020 | 164.90 |
| Dec 31, 2019 | 35.32 |
| Sep 30, 2019 | 58.98 |
| Jun 30, 2019 | 48.62 |
| Mar 31, 2019 | 12.27 |
| Dec 31, 2018 | 14.14 |
| Sep 30, 2018 | 15.91 |
| Jun 30, 2018 | 15.28 |
| Dec 31, 2015 | 361.67 |
| Sep 30, 2015 | 15.80 |
| Jun 30, 2015 | 15.79 |
API Access
Intergroup Price to Earnings 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-earnings&ticker=INTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=INTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();