Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Receivables - Net (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) reported Receivables - Net of $49.8 million for the quarter ended Jun 30, 2026, down 16.4% from $59.6 million a year earlier but up 6.6% from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Receivables - Net (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Vesta Real Estate Corporation, S.A.B. de C.V posted Receivables - Net of $47.5 million, down 10.0% from the prior year.
- Receivables - Net has a three-year compound annual growth rate of 16.4% (years ended Dec 2022 to Dec 2025).
- By year, Receivables - Net came in at $52.8 million in the year ended Dec 31, 2024 (+55.8%), $33.9 million in the year ended Dec 31, 2023 (+12.6%) and $30.1 million in the year ended Dec 31, 2022.
- Five-year quarterly Receivables - Net spans a low of $23.16 million in the quarter ended Jun 30, 2023 and a high of $60.1 million in the quarter ended Sep 30, 2025.
- Year over year, Receivables - Net has now declined in each of the last three quarters, with growth averaging 24.5% over the last eight quarters.
- The high point for year-over-year Receivables - Net in five years was the quarter ended Sep 30, 2025 (growth of 83.8%); the low point was the quarter ended Mar 31, 2026 (a decline of 16.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $46.7 million (quarter ended Mar 31, 2026), $47.5 million (quarter ended Dec 31, 2025) and $60.1 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn |
| 10 | Tejon Ranch | 438.56 Mn | 373.54 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.80 Mn |
| Mar 31, 2026 | 46.70 Mn |
| Dec 31, 2025 | 47.50 Mn |
| Sep 30, 2025 | 60.10 Mn |
| Jun 30, 2025 | 59.60 Mn |
| Mar 31, 2025 | 56.00 Mn |
| Dec 31, 2024 | 52.80 Mn |
| Sep 30, 2024 | 32.70 Mn |
| Jun 30, 2024 | 35.80 Mn |
| Mar 31, 2024 | 43.50 Mn |
| Dec 31, 2023 | 33.90 Mn |
| Sep 30, 2023 | 31.26 Mn |
| Jun 30, 2023 | 23.16 Mn |
| Dec 31, 2022 | 30.10 Mn |
Vesta Real Estate Corporation, S.A.B. de C.V Receivables - Net 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=receivables-net&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "VTMX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();