Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Receivables (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) posted Receivables of $55.7 million for the quarter ended Jun 30, 2026, down 6.5% from $59.6 million a year earlier but up 10.7% from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Receivables (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Vesta Real Estate Corporation, S.A.B. de C.V's Receivables came in at $51 million, down 3.4% from the prior year.
- Annual Receivables shows a three-year compound annual growth rate of 19.2% (years ended Dec 2022 to Dec 2025).
- In prior years, Vesta Real Estate Corporation, S.A.B. de C.V's Receivables was $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.
- Quarterly Receivables has run from a low of $23.16 million in the quarter ended Jun 30, 2023 to a high of $63.5 million in the quarter ended Sep 30, 2025 over five years.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with growth averaging 28.7% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was the quarter ended Sep 30, 2025, with growth of 94.2%; the weakest was the quarter ended Mar 31, 2026, with a decline of 10.2%.
- According to Business Quant data, Receivables for the three prior quarters was $50.3 million (quarter ended Mar 31, 2026), $51 million (quarter ended Dec 31, 2025) and $63.5 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 174.77 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | 2.35 Mn |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 27.50 Mn |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | - |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 17.94 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 55.70 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | - |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | - |
| 10 | Tejon Ranch | 441.80 Mn | 376.78 Mn | - | 2.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.70 Mn |
| Mar 31, 2026 | 50.30 Mn |
| Dec 31, 2025 | 51.00 Mn |
| Sep 30, 2025 | 63.50 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 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&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();