reAlpha Tech (AIRE) Operating Expenses (2022 - 2026)
reAlpha Tech (AIRE) reported Operating Expenses of $3.63 million for Q2 2026, down 23.0% from $4.71 million a year earlier and down 24.9% from the prior quarter.
reAlpha Tech (AIRE) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, reAlpha Tech's Operating Expenses came in at $19.32 million, up 50.3% year-over-year; for FY2025, it was $18.46 million, up 144.5% from FY2024.
- By year, Operating Expenses came in at $7.55 million in FY2024 (+24.6%) and $6.06 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in five of the last six quarters, with growth averaging 117.3%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.83 million (Q1 2026), $5.16 million (Q4 2025) and $5.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | -587.69 Mn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 6.64 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 4.18 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 485.10 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 2.63 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 848.02 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 200.70 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 97.16 Mn |
| 10 | reAlpha Tech | 7.09 Mn | -16.86 Mn | 732,947.00 | 3.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.63 Mn |
| Mar 31, 2026 | 4.83 Mn |
| Dec 31, 2025 | 5.16 Mn |
| Sep 30, 2025 | 5.70 Mn |
| Jun 30, 2025 | 4.71 Mn |
| Mar 31, 2025 | 2.94 Mn |
| Dec 31, 2024 | 3.35 Mn |
| Sep 30, 2024 | 1.85 Mn |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 1.31 Mn |
| Oct 31, 2023 | 4.19 Mn |
| Oct 31, 2022 | 1.51 Mn |
reAlpha Tech 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=AIRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AIRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();