Stratum Holdings (SRTM) EBITDA Margin (2024 - 2026)
La Rosa Holdings' EBITDA Margin was -10.40% in Q2 2026, up 0.85 percentage points from -11.24% a year earlier and up 7.22 percentage points from the prior quarter.
Stratum Holdings (SRTM) EBITDA Margin (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, La Rosa Holdings' EBITDA Margin was -27.13% through Jun 30, 2026, down 11.33 percentage points year-over-year; for FY2025, it came in at -28.59%, down 12.35 percentage points from FY2024.
- In earlier years, EBITDA Margin was -16.24% in FY2024 (+2.66 pp) and -18.90% in FY2023.
- The Q2 2026 figure marks the highest quarterly EBITDA Margin since Q3 2024.
- Compared with a year earlier, EBITDA Margin was higher in three of the last six quarters, with an average year-over-year change of -5.31 percentage points.
- Per Business Quant data, SRTM's EBITDA Margin in the three quarters before Q2 2026 was -17.62% (Q1 2026), -49.39% (Q4 2025) and -28.02% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | 6.89% |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | - |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | 6.62% |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | 6.43% |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | - |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | 5.65% |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | 14.03% |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | 2.25% |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | 0.41% |
| 10 | Stratum Holdings | 37,745.23 | -13.53 Mn | 1.73 Mn | -10.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.40% |
| Mar 31, 2026 | -17.62% |
| Dec 31, 2025 | -49.39% |
| Sep 30, 2025 | -28.02% |
| Jun 30, 2025 | -11.24% |
| Mar 31, 2025 | -29.89% |
| Dec 31, 2024 | -17.10% |
| Sep 30, 2024 | -7.88% |
| Jun 30, 2024 | -8.61% |
| Mar 31, 2024 | -40.00% |
Stratum 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=SRTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "SRTM", "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=SRTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();