Intergroup (INTG) Non Operating Interest Expenses (2010 - 2026)
Intergroup's Non Operating Interest Expenses was $3.06 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 9.0% from $3.36 million a year earlier and down 4.2% from the prior quarter.
Intergroup (INTG) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Non Operating Interest Expenses at Intergroup came in at $12.67 million, down 6.6% from FY2025.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- In earlier fiscal years, Non Operating Interest Expenses was $13.56 million in FY2025, $8.59 million in FY2023 (-3.3%) and $8.88 million in FY2022 (-0.4%).
- The fiscal Q4 2026 figure marks the lowest quarterly Non Operating Interest Expenses since fiscal Q2 2024.
- Compared with a year earlier, Non Operating Interest Expenses was higher in three of the last seven quarters, with growth averaging 12.5%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q2 2025 (growth of 59.7%); the worst was fiscal Q2 2026 (a decline of 10.6%).
- Per Business Quant data, INTG's Non Operating Interest Expenses in the three fiscal quarters before Q4 2026 was $3.19 million (Q3 2026), $3.16 million (Q2 2026) and $3.26 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | 973,000.00 |
| 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 | - | 40.01 Mn |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | 6.88 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | -17.50 Mn |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | 29.00 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 | 3.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.06 Mn |
| Mar 31, 2026 | 3.19 Mn |
| Dec 31, 2025 | 3.16 Mn |
| Sep 30, 2025 | 3.26 Mn |
| Mar 31, 2025 | 3.15 Mn |
| Dec 31, 2024 | 3.53 Mn |
| Sep 30, 2024 | 3.51 Mn |
| Mar 31, 2024 | 3.23 Mn |
| Dec 31, 2023 | 2.21 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 2.10 Mn |
| Mar 31, 2023 | 2.10 Mn |
| Dec 31, 2022 | 2.16 Mn |
| Sep 30, 2022 | 2.22 Mn |
| Jun 30, 2022 | 2.17 Mn |
| Mar 31, 2022 | 2.19 Mn |
| Dec 31, 2021 | 2.28 Mn |
| Sep 30, 2021 | 2.24 Mn |
| Jun 30, 2021 | 2.18 Mn |
| Mar 31, 2021 | 2.18 Mn |
Intergroup 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=INTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=INTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();