Logistic Properties of the Americas (LPA) Return on Sales [ROS] (2023 - 2026)
Logistic Properties of the Americas (LPA) recorded Return on Sales [ROS] of 0.12% in Q2 2026, down 1598.58 percentage points from 1598.69% a year earlier but up 87.86 percentage points from the prior quarter.
Logistic Properties of the Americas (LPA) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
On a TTM basis, Logistic Properties of the Americas' Return on Sales [ROS] came in at 0.11% as of Jun 30, 2026, down 421.83 percentage points year-over-year; for FY2025, it came in at 9.79%, up 83.89 percentage points from FY2024.
- Annual Return on Sales [ROS] has a four-year change of -74.08 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -74.11% in FY2024 (-160.79 pp), 86.68% in FY2023 (+3.88 pp), 82.80% in FY2022 (-1.06 pp) and 83.87% in FY2021.
- Quarterly Return on Sales [ROS] has ranged from -151.05% in Q2 2023 to 1598.69% in Q2 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of +5.39 percentage points over the last seven quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1533.51 percentage points in Q2 2025, against a drop of 1598.58 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -87.74% (Q1 2026), 60.44% (Q4 2025) and 27.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - | 77.96% |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn | 34.49% |
| 4 | ETF Managers Trust | 3.80 Bn | -3.56 Bn | - | - |
| 5 | Millrose Properties | 3.68 Bn | 3.32 Bn | - | 85.16% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.22 Bn | 2.03 Bn | - | 91.58% |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn | -16.31% |
| 8 | Logistic Properties of the Americas | 83.79 Mn | 125.26 Mn | - | 0.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.12% |
| Mar 31, 2026 | -87.74% |
| Dec 31, 2025 | 364.43% |
| Sep 30, 2025 | 27.65% |
| Jun 30, 2025 | 1,598.69% |
| Mar 31, 2025 | -18.61% |
| Dec 31, 2024 | 476.01% |
| Sep 30, 2024 | 12.44% |
| Jun 30, 2024 | 65.19% |
| Mar 31, 2024 | -464.68% |
| Dec 31, 2023 | 438.58% |
| Sep 30, 2023 | 15.44% |
| Jun 30, 2023 | -151.05% |
| Mar 31, 2023 | 65.11% |
Logistic Properties of the Americas Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LPA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LPA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=LPA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();