Star Holdings (STHO) Operating Expenses (2022 - 2026)
Star Holdings' Operating Expenses was $21.61 million in Q2 2026, down 44.7% from $39.04 million a year earlier and down 35.0% from the prior quarter.
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Analysis
Star Holdings (STHO) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Star Holdings' Operating Expenses was $106 million through Jun 30, 2026, down 16.1% year-over-year; for FY2025, it came in at $116.05 million, down 16.4% from FY2024.
- Operating Expenses has now declined for four consecutive years, with a four-year compound annual growth rate of -22.1% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $138.83 million in FY2024 (-21.4%), $176.68 million in FY2023 (-23.6%), $231.2 million in FY2022 (-26.5%) and $314.39 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Operating Expenses in data going back to Q1 2022.
- Compared with a year earlier, Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 18.6%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2026 (growth of 28.6%); the worst was Q2 2023 (a decline of 45.6%).
- Per Business Quant data, STHO's Operating Expenses in the three quarters before Q2 2026 was $33.24 million (Q1 2026), $24.27 million (Q4 2025) and $26.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.88 Bn | 22.71 Bn | - | 54.24 Mn |
| 2 | St Joe | 3.92 Bn | 3.41 Bn | 73.42 Mn | 104.06 Mn |
| 3 | Millrose Properties | 3.83 Bn | 3.46 Bn | - | 29.22 Mn |
| 4 | Opendoor Technologies | 1.91 Bn | -1.91 Bn | 86.00 Mn | 230.00 Mn |
| 5 | Forestar | 1.30 Bn | -49.27 Mn | 84.10 Mn | 38.30 Mn |
| 6 | Five Point Holdings | 640.36 Mn | -817.26 Mn | -23.72 Mn | 21.49 Mn |
| 7 | Tejon Ranch | 430.45 Mn | 350.07 Mn | - | 13.91 Mn |
| 8 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | 972,259.00 |
| 10 | Star Holdings | 89.52 Mn | -82.34 Mn | 5.31 Mn | 21.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.61 Mn |
| Mar 31, 2026 | 33.24 Mn |
| Dec 31, 2025 | 24.27 Mn |
| Sep 30, 2025 | 26.89 Mn |
| Jun 30, 2025 | 39.04 Mn |
| Mar 31, 2025 | 25.85 Mn |
| Dec 31, 2024 | 30.84 Mn |
| Sep 30, 2024 | 30.63 Mn |
| Jun 30, 2024 | 40.79 Mn |
| Mar 31, 2024 | 36.57 Mn |
| Dec 31, 2023 | 46.63 Mn |
| Sep 30, 2023 | 44.88 Mn |
| Jun 30, 2023 | 38.35 Mn |
| Mar 31, 2023 | 46.84 Mn |
| Dec 31, 2022 | 70.82 Mn |
| Sep 30, 2022 | 49.84 Mn |
| Jun 30, 2022 | 70.53 Mn |
| Mar 31, 2022 | 40.01 Mn |
API Access
Star Holdings Operating 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=operating-expenses&ticker=STHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "STHO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=STHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();