Logistic Properties of the Americas (LPA) Accumulated Expenses (2022 - 2026)
Logistic Properties of the Americas' Accumulated Expenses was $2.14 million in Q2 2026, up 28.9% from $1.66 million a year earlier and up 3.4% from the prior quarter.
Powered by 
Analysis
Logistic Properties of the Americas (LPA) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Logistic Properties of the Americas came in at $2.6 million, up 73.1% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of 40.7% (FY2021 to FY2025).
- In earlier years, Accumulated Expenses was $1.5 million in FY2024 (-13.6%), $1.74 million in FY2023 (-42.1%), $3 million in FY2022 (+352.4%) and $663,420 in FY2021.
- Quarterly Accumulated Expenses has moved between -$1.15 million (Q4 2023) and $2.6 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 32.1% over the last six quarters.
- Per Business Quant data, LPA's Accumulated Expenses in the three quarters before Q2 2026 was $2.06 million (Q1 2026), $2.6 million (Q4 2025) and $2.32 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.14 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 2.60 Mn |
| Sep 30, 2025 | 2.32 Mn |
| Jun 30, 2025 | 1.66 Mn |
| Mar 31, 2025 | 1.47 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.54 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | 1.87 Mn |
| Dec 31, 2023 | 13.13 Mn |
| Sep 30, 2023 | 1.66 Mn |
| Dec 31, 2022 | 8.59 Mn |
API Access
Logistic Properties of the Americas Accumulated 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=accumulated-expenses&ticker=LPA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LPA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();