Logprostyle (LGPS) Other Accumulated Expenses (2024 - 2026)
Logprostyle's Other Accumulated Expenses came in at $1.66 million for the quarter ended Mar 31, 2026, down 0.5% from $1.67 million a year earlier.
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Analysis
Logprostyle (LGPS) Other Accumulated Expenses (2024 - 2026) Analysis & Trends
- Other Accumulated Expenses carries a three-year compound annual growth rate of 89.3% (years ended Mar 2023 to Mar 2026).
- Going back by year, Other Accumulated Expenses was $1.67 million in the year ended Mar 31, 2025 (+20.6%), $1.39 million in the year ended Mar 31, 2024 (+465.2%) and $245,110 in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Other Accumulated Expenses since the quarter ended Mar 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn |
| 10 | Logprostyle | 17.71 Mn | -26.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.66 Mn |
| Sep 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 1.67 Mn |
| Mar 31, 2024 | 393,080.42 |
API Access
Logprostyle Other 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=other-accumulated-expenses&ticker=LGPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LGPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=LGPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();