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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 39.15 Bn | 32.45 Bn | 2.13 Bn |
| 2 | KE Holdings | 20.91 Bn | -6.27 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 17.03 Bn | 15.02 Bn | - |
| 4 | Compass | 7.76 Bn | 6.21 Bn | - |
| 5 | Colliers International | 4.82 Bn | 3.86 Bn | 637.29 Mn |
| 6 | Cushman & Wakefield | 3.29 Bn | 915.02 Mn | 486.30 Mn |
| 7 | Newmark | 2.13 Bn | 1.20 Bn | - |
| 8 | Marcus & Millichap | 1.05 Bn | 143.99 Mn | - |
| 9 | Agnt | 521.12 Mn | 52.15 Mn | 90.97 Mn |
| 10 | reAlpha Tech | 2.09 Mn | -21.87 Mn | 732,947.00 |
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 |
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_KEY
import 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();