reAlpha Tech (AIRE) Gross Margin (2022 - 2026)
reAlpha Tech's Gross Margin was 66.01% in Q2 2026, up 16.39 percentage points from 49.62% a year earlier and up 0.35 percentage points from the prior quarter.
reAlpha Tech (AIRE) Gross Margin (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, reAlpha Tech's Gross Margin was 60.50% through Jun 30, 2026, up 3.66 percentage points year-over-year; for FY2025, it came in at 54.25%, down 13.90 percentage points from FY2024.
- In earlier years, Gross Margin was 68.15% in FY2024 (+45.94 pp) and 22.21% in FY2023.
- The Q2 2026 figure marks the highest quarterly Gross Margin since Q4 2024.
- Compared with a year earlier, Gross Margin was higher in three of the last six quarters, with an average year-over-year change of +4.86 percentage points.
- Per Business Quant data, AIRE's Gross Margin in the three quarters before Q2 2026 was 65.66% (Q1 2026), 62.74% (Q4 2025) and 51.87% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 28.58% |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 18.58% |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 40.39% |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 18.53% |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | - |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 6.82% |
| 10 | reAlpha Tech | 7.09 Mn | -16.86 Mn | 732,947.00 | 66.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.01% |
| Mar 31, 2026 | 65.66% |
| Dec 31, 2025 | 62.74% |
| Sep 30, 2025 | 51.87% |
| Jun 30, 2025 | 49.62% |
| Mar 31, 2025 | 56.03% |
| Dec 31, 2024 | 69.15% |
| Sep 30, 2024 | 66.58% |
| Jun 30, 2024 | 70.73% |
| Mar 31, 2024 | 10.66% |
| Oct 31, 2023 | 9.26% |
| Oct 31, 2022 | 24.27% |
reAlpha Tech Gross 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=gross-margin&ticker=AIRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "AIRE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=AIRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();