reAlpha Tech (AIRE) Total Non-Current Liabilities (2024 - 2026)
reAlpha Tech (AIRE) reported Total Non-Current Liabilities of $4.79 million for Q2 2026, down 68.9% from $15.42 million a year earlier but up 0.3% from the prior quarter.
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Analysis
reAlpha Tech (AIRE) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, reAlpha Tech posted Total Non-Current Liabilities of $9.87 million, up 5.7% from FY2024.
- By year, Total Non-Current Liabilities came in at $9.34 million in FY2024.
- Five-year quarterly Total Non-Current Liabilities spans a low of $2.38 million in Q2 2024 and a high of $15.42 million in Q2 2025.
- Year over year, Total Non-Current Liabilities gained in two of the last five quarters, with growth averaging 78.7%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.78 million (Q1 2026), $9.87 million (Q4 2025) and $8.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 36.86 Bn | 30.16 Bn | 2.13 Bn | 20.30 Bn |
| 2 | KE Holdings | 19.25 Bn | -7.94 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 16.05 Bn | 14.04 Bn | - | 9.19 Bn |
| 4 | Compass | 7.08 Bn | 5.54 Bn | - | 5.20 Bn |
| 5 | Colliers International | 4.87 Bn | 3.95 Bn | 635.11 Mn | 4.22 Bn |
| 6 | Cushman & Wakefield | 3.06 Bn | 540.39 Mn | 512.00 Mn | 5.27 Bn |
| 7 | Newmark | 2.10 Bn | 1.17 Bn | - | 3.21 Bn |
| 8 | Marcus & Millichap | 1.05 Bn | 149.66 Mn | - | 149.48 Mn |
| 9 | Agnt | 654.69 Mn | 184.38 Mn | 98.80 Mn | - |
| 10 | reAlpha Tech | 4.14 Mn | -19.83 Mn | 732,947.00 | 4.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.55 Mn |
| Mar 31, 2026 | 4.45 Mn |
| Dec 31, 2025 | 9.87 Mn |
| Sep 30, 2025 | 8.03 Mn |
| Jun 30, 2025 | 15.42 Mn |
| Mar 31, 2025 | 13.04 Mn |
| Dec 31, 2024 | 9.34 Mn |
| Sep 30, 2024 | 10.55 Mn |
| Jun 30, 2024 | 2.38 Mn |
API Access
reAlpha Tech Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AIRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AIRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();