reAlpha Tech (AIRE) Interest Expenses (2022 - 2026)
reAlpha Tech (AIRE) posted Interest Expenses of $16,790 for Q2 2026, down 93.1% from $242,639 a year earlier and down 32.0% from the prior quarter.
reAlpha Tech (AIRE) Interest Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at reAlpha Tech was $1.4 million, up 76.9% year-over-year; for FY2025, it came in at $814,727, up 144.1% from FY2024.
- In prior years, reAlpha Tech's Interest Expenses was $333,759 in FY2024 (+376.0%) and $70,119 in FY2023.
- Quarterly Interest Expenses has run from a low of -$388,364 in Q3 2025 to a high of $1.75 million in Q4 2025 over five years.
- According to Business Quant data, Interest Expenses for the three prior quarters was $24,680 (Q1 2026), $1.75 million (Q4 2025) and -$388,364 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 41.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 59.60 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | reAlpha Tech | 7.09 Mn | -16.86 Mn | 732,947.00 | 16,790.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16,790.00 |
| Mar 31, 2026 | 24,680.00 |
| Dec 31, 2025 | 1.75 Mn |
| Sep 30, 2025 | -388,364.00 |
| Jun 30, 2025 | 242,639.00 |
| Mar 31, 2025 | 205,063.00 |
| Dec 31, 2024 | 464,366.00 |
| Sep 30, 2024 | -119,485.00 |
| Jun 30, 2024 | 678.00 |
| Mar 31, 2024 | -10,445.00 |
| Oct 31, 2023 | 22,075.00 |
| Oct 31, 2022 | 40,701.00 |
reAlpha Tech Interest 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=interest-expenses&ticker=AIRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=AIRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();