reAlpha Tech (AIRE) Accumulated Expenses (2023 - 2026)
reAlpha Tech (AIRE) reported Accumulated Expenses of $248,459 for Q2 2026, down 76.5% from $1.06 million a year earlier and down 23.6% from the prior quarter.
Powered by 
Analysis
reAlpha Tech (AIRE) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, reAlpha Tech posted Accumulated Expenses of $660,577, down 43.3% from FY2024.
- By year, Accumulated Expenses came in at $1.16 million in FY2024 (+45.7%) and $799,624 in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses in data going back to Q4 2023.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with growth averaging 8.1% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $325,274 (Q1 2026), $660,577 (Q4 2025) and $1.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.83 Bn | 31.60 Bn | 2.09 Bn |
| 2 | KE Holdings | 37.44 Bn | 18.15 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.17 Bn | 12.38 Bn | - |
| 4 | Compass | 6.87 Bn | 5.33 Bn | - |
| 5 | Colliers International | 4.67 Bn | 3.75 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.83 Bn | 308.75 Mn | 512.00 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - |
| 8 | Marcus & Millichap | 1.10 Bn | 193.30 Mn | - |
| 9 | Agnt | 594.94 Mn | 124.62 Mn | 98.80 Mn |
| 10 | reAlpha Tech | 7.04 Mn | -16.91 Mn | 732,947.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248,459.00 |
| Mar 31, 2026 | 325,274.00 |
| Dec 31, 2025 | 660,577.00 |
| Sep 30, 2025 | 1.25 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 994,728.00 |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 1.19 Mn |
| Jun 30, 2024 | 522,816.00 |
| Mar 31, 2024 | 520,142.00 |
| Dec 31, 2023 | 799,624.00 |
| Oct 31, 2023 | 343,624.00 |
| Apr 30, 2023 | 195,299.00 |
API Access
reAlpha Tech Accumulated 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=accumulated-expenses&ticker=AIRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AIRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();