Intergroup (INTG) Selling, General & Administrative (2010 - 2026)
Intergroup's Selling, General & Administrative was $597,000 in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 13.0% from $686,000 a year earlier and down 11.6% from the prior quarter.
Intergroup (INTG) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Selling, General & Administrative at Intergroup came in at $2.72 million, down 7.2% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of -2.7% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $2.93 million in FY2025, $3.33 million in FY2023 (+25.8%) and $2.65 million in FY2022 (-14.8%).
- The fiscal Q4 2026 figure marks the lowest quarterly Selling, General & Administrative since fiscal Q3 2022.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last seven quarters, with an average decline of 11.1%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q2 2024 (growth of 94.3%); the worst was fiscal Q2 2025 (a decline of 64.3%).
- Per Business Quant data, INTG's Selling, General & Administrative in the three fiscal quarters before Q4 2026 was $675,000 (Q3 2026), $740,000 (Q2 2026) and $706,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | 8.00 Mn |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | 15.90 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 | - | -8.80 Mn |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | 135.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | 14.29 Mn |
| 10 | Intergroup | 59.97 Mn | 231,342.59 | 7.37 Mn | 597,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 597,000.00 |
| Mar 31, 2026 | 675,000.00 |
| Dec 31, 2025 | 740,000.00 |
| Sep 30, 2025 | 706,000.00 |
| Mar 31, 2025 | 707,000.00 |
| Dec 31, 2024 | 677,000.00 |
| Sep 30, 2024 | 860,000.00 |
| Mar 31, 2024 | 716,000.00 |
| Dec 31, 2023 | 1.89 Mn |
| Sep 30, 2023 | 755,000.00 |
| Jun 30, 2023 | 885,000.00 |
| Mar 31, 2023 | 836,000.00 |
| Dec 31, 2022 | 975,000.00 |
| Sep 30, 2022 | 699,000.00 |
| Jun 30, 2022 | 683,000.00 |
| Mar 31, 2022 | 580,000.00 |
| Dec 31, 2021 | 576,000.00 |
| Sep 30, 2021 | 810,000.00 |
| Jun 30, 2021 | 578,000.00 |
| Mar 31, 2021 | 605,000.00 |
Intergroup Selling, General & Administrative 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=selling-general-and-administrative&ticker=INTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=INTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();