Globus Maritime (GLBS) Inventory (2009 - 2026)
Globus Maritime (GLBS) reported Inventory of $1.33 million for the quarter ended Jun 30, 2026, compared with -$159,000 a year earlier and down 49.4% from the prior quarter.
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Analysis
Globus Maritime (GLBS) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Globus Maritime posted Inventory of $2.22 million, up 80.8% from the prior year.
- Inventory has a five-year compound annual growth rate of 12.2% (years ended Dec 2020 to Dec 2025).
- By year, Inventory came in at $1.23 million in the year ended Dec 31, 2024 (-2.4%), $1.26 million in the year ended Dec 31, 2023 (-58.5%), $3.03 million in the year ended Dec 31, 2022 (+255.4%) and $852,000 in the year ended Dec 31, 2021 (-31.7%).
- Five-year quarterly Inventory spans a low of -$159,000 in the quarter ended Jun 30, 2025 and a high of $3.03 million in the quarter ended Dec 31, 2022.
- Year over year, Inventory gained in four of the last six quarters, with growth averaging 51.9%.
- The high point for year-over-year Inventory in five years was the quarter ended Mar 31, 2022 (growth of 264.9%); the low point was the quarter ended Jun 30, 2024 (a decline of 62.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.62 million (quarter ended Mar 31, 2026), $2.22 million (quarter ended Dec 31, 2025) and $1.58 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 919.00 Mn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 406.00 Mn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 381.45 Mn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 327.00 Mn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | - |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 2.64 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | - |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 1.80 Bn |
| 10 | Globus Maritime | 63.28 Mn | -45.63 Mn | 9.87 Mn | 1.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Mn |
| Mar 31, 2026 | 2.62 Mn |
| Dec 31, 2025 | 2.22 Mn |
| Sep 30, 2025 | 1.58 Mn |
| Jun 30, 2025 | 1.39 Mn |
| Mar 31, 2025 | 1.69 Mn |
| Dec 31, 2024 | 1.23 Mn |
| Sep 30, 2024 | 963,000.00 |
| Jun 30, 2024 | 856,000.00 |
| Mar 31, 2024 | 704,000.00 |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 1.31 Mn |
| Jun 30, 2023 | 2.27 Mn |
| Mar 31, 2023 | 1.58 Mn |
| Dec 31, 2022 | 3.03 Mn |
| Sep 30, 2022 | 1.60 Mn |
| Jun 30, 2022 | 1.41 Mn |
| Mar 31, 2022 | 2.55 Mn |
| Dec 31, 2021 | 852,000.00 |
| Sep 30, 2021 | 985,000.00 |
API Access
Globus Maritime Inventory 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=inventory&ticker=GLBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();