Globus Maritime (GLBS) Land & Improvements (2020 - 2026)
Globus Maritime's Land & Improvements was -$308,000 in the quarter ended Jun 30, 2026, compared with -$31,000 a year earlier.
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Analysis
Globus Maritime (GLBS) Land & Improvements (2020 - 2026) Analysis & Trends
From the quarter ended Sep 30, 2020 onward, Globus Maritime has reported Land & Improvements for 14 quarters.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Land & Improvements since the quarter ended Sep 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 3.57 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | - |
| 10 | Globus Maritime | 71.87 Mn | -37.05 Mn | 14.40 Mn | -308,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -308,000.00 |
| Sep 30, 2025 | -215,000.00 |
| Jun 30, 2025 | -31,000.00 |
| Sep 30, 2024 | -120,000.00 |
| Jun 30, 2024 | -61,000.00 |
| Sep 30, 2023 | -127,000.00 |
| Jun 30, 2023 | -133,000.00 |
| Mar 31, 2023 | -77,000.00 |
| Sep 30, 2022 | -872,000.00 |
| Jun 30, 2022 | -176,000.00 |
| Mar 31, 2022 | -19,000.00 |
| Sep 30, 2021 | -205,000.00 |
| Jun 30, 2021 | -83,000.00 |
| Sep 30, 2020 | -54,000.00 |
API Access
Globus Maritime 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=GLBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "GLBS", "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=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();