Gladstone Land (LAND) Accumulated Expenses (2017 - 2019)
Gladstone Land (LAND) reported Accumulated Expenses of $1.02 million for Q1 2019, up 23.4% from $829,000 a year earlier and up 11.1% from the prior quarter.
Gladstone Land (LAND) Accumulated Expenses (2017 - 2019) Analysis & Trends
At the end of FY2018, Gladstone Land posted Accumulated Expenses of $921,000, down 25.2% from FY2017.
- By year, Accumulated Expenses came in at $1.23 million in FY2017.
- The Q1 2019 figure ranks as the highest quarterly Accumulated Expenses since Q4 2017.
- Per Business Quant data, the three quarters before Q1 2019 came in at $921,000 (Q4 2018), $921,000 (Q3 2018) and $921,000 (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rayonier | 5.44 Bn | 2.62 Bn | 75.67 Mn |
| 2 | Farmland Partners | 501.29 Mn | 504.40 Mn | 8.52 Mn |
| 3 | Gladstone Land | 411.52 Mn | 411.52 Mn | 12.44 Mn |
| 4 | St Joe | 3.72 Bn | 3.22 Bn | 73.42 Mn |
| 5 | Alico | 284.12 Mn | 102.77 Mn | 4.05 Mn |
| 6 | Ckx Lands | 21.60 Mn | 21.60 Mn | 165,707.00 |
| 7 | Power REIT | 2.59 Mn | 2.59 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.02 Mn |
| Dec 31, 2018 | 921,000.00 |
| Sep 30, 2018 | 921,000.00 |
| Jun 30, 2018 | 921,000.00 |
| Mar 31, 2018 | 829,000.00 |
| Dec 31, 2017 | 1.23 Mn |
Gladstone Land 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=LAND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LAND", "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=LAND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();