Star Holdings (STHO) EBITDA Margin (2022 - 2026)
Star Holdings' EBITDA Margin was -79.79% in Q2 2026, up 28.14 percentage points from -107.93% a year earlier and up 112.25 percentage points from the prior quarter.
Star Holdings (STHO) EBITDA Margin (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Star Holdings' EBITDA Margin was -90.25% through Jun 30, 2026, up 32.72 percentage points year-over-year; for FY2025, it came in at -97.98%, up 49.28 percentage points from FY2024.
- EBITDA Margin has now increased for three consecutive years, with a four-year change of +58.10 percentage points (FY2021 to FY2025).
- In earlier years, EBITDA Margin was -147.26% in FY2024 (+33.29 pp), -180.55% in FY2023 (+44.28 pp), -224.82% in FY2022 (-68.74 pp) and -156.08% in FY2021.
- Quarterly EBITDA Margin has moved between -441.53% (Q4 2022) and -44.66% (Q4 2025) over five years.
- Compared with a year earlier, EBITDA Margin has increased for five straight quarters, with an average year-over-year change of +35.74 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q4 2023 (a gain of 266.72 percentage points); the worst was Q1 2023 (a drop of 159.72 percentage points).
- Per Business Quant data, STHO's EBITDA Margin in the three quarters before Q2 2026 was -192.04% (Q1 2026), -44.66% (Q4 2025) and -62.75% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 84.72% |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 72.61% |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 41.66% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 91.85% |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -15.40% |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 11.43% |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | -311.27% |
| 10 | Star Holdings | 103.54 Mn | -67.06 Mn | 5.31 Mn | -79.79% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -79.79% |
| Mar 31, 2026 | -192.04% |
| Dec 31, 2025 | -44.66% |
| Sep 30, 2025 | -62.75% |
| Jun 30, 2025 | -107.93% |
| Mar 31, 2025 | -229.52% |
| Dec 31, 2024 | -82.44% |
| Sep 30, 2024 | -139.37% |
| Jun 30, 2024 | -193.92% |
| Mar 31, 2024 | -182.30% |
| Dec 31, 2023 | -174.80% |
| Sep 30, 2023 | -114.17% |
| Jun 30, 2023 | -192.03% |
| Mar 31, 2023 | -348.74% |
| Dec 31, 2022 | -441.53% |
| Sep 30, 2022 | -154.32% |
| Jun 30, 2022 | -218.90% |
| Mar 31, 2022 | -189.03% |
Star Holdings EBITDA Margin 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=ebitda-margin&ticker=STHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=STHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();