Gladstone Commercial (GOOD) Land & Improvements (2012 - 2026)
Gladstone Commercial's Land & Improvements was $153.39 million in Q2 2026, up 1.7% from the prior quarter.
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Analysis
Gladstone Commercial (GOOD) Land & Improvements (2012 - 2026) Analysis & Trends
At the end of FY2025, Land & Improvements at Gladstone Commercial came in at $150.87 million.
- The Q2 2026 figure marks the highest quarterly Land & Improvements in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Gladstone Commercial | 610.90 Mn | 780.94 Mn | - | 153.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.39 Mn |
| Mar 31, 2026 | 150.87 Mn |
| Dec 31, 2025 | 150.87 Mn |
| Mar 31, 2016 | 96.88 Mn |
| Dec 31, 2015 | 97.12 Mn |
| Sep 30, 2015 | 93.27 Mn |
| Jun 30, 2015 | 95.95 Mn |
| Mar 31, 2015 | 91.34 Mn |
| Dec 31, 2014 | 88.39 Mn |
| Sep 30, 2014 | 86.74 Mn |
| Jun 30, 2014 | 83.35 Mn |
| Mar 31, 2014 | 77.06 Mn |
| Dec 31, 2013 | 79.15 Mn |
| Sep 30, 2013 | 77.30 Mn |
| Jun 30, 2013 | 72.27 Mn |
| Mar 31, 2013 | 70.75 Mn |
| Dec 31, 2012 | 69.13 Mn |
API Access
Gladstone Commercial Land & Improvements 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=land-and-improvements&ticker=GOOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "GOOD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=GOOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();