Globus Maritime (GLBS) Assets (2009 - 2026)
Globus Maritime (GLBS) recorded Assets of $294.08 million in the quarter ended Jun 30, 2026, down 4.9% from $309.36 million a year earlier but up 1.2% from the prior quarter.
Globus Maritime (GLBS) Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Globus Maritime reported Assets of $288.82 million, down 10.0% from the prior year.
- Annual Assets has a five-year compound annual growth rate of 27.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Assets came in at $320.99 million in the year ended Dec 31, 2024 (+38.7%), $231.4 million in the year ended Dec 31, 2023 (+2.6%), $225.46 million in the year ended Dec 31, 2022 (+21.4%) and $185.65 million in the year ended Dec 31, 2021 (+114.8%).
- Quarterly Assets has ranged from $174.15 million in the quarter ended Sep 30, 2021 to $320.99 million in the quarter ended Dec 31, 2024 over the past five years.
- On a year-over-year basis, Assets has declined for three consecutive quarters, with growth averaging 11.9% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 128.0% in the quarter ended Sep 30, 2021, against a decline of 10.0% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $290.65 million (quarter ended Mar 31, 2026), $288.82 million (quarter ended Dec 31, 2025) and $289.79 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 71.21 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 44.73 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 64.54 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 71.27 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 45.12 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 98.94 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 86.32 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 5.74 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 21.11 Bn |
| 10 | Globus Maritime | 75.54 Mn | -33.38 Mn | 14.40 Mn | 294.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 294.08 Mn |
| Mar 31, 2026 | 290.65 Mn |
| Dec 31, 2025 | 288.82 Mn |
| Sep 30, 2025 | 289.79 Mn |
| Jun 30, 2025 | 309.36 Mn |
| Mar 31, 2025 | 315.99 Mn |
| Dec 31, 2024 | 320.99 Mn |
| Sep 30, 2024 | 280.08 Mn |
| Jun 30, 2024 | 256.32 Mn |
| Mar 31, 2024 | 233.23 Mn |
| Dec 31, 2023 | 231.40 Mn |
| Sep 30, 2023 | 233.90 Mn |
| Jun 30, 2023 | 217.32 Mn |
| Mar 31, 2023 | 224.16 Mn |
| Dec 31, 2022 | 225.46 Mn |
| Sep 30, 2022 | 225.58 Mn |
| Jun 30, 2022 | 206.24 Mn |
| Mar 31, 2022 | 195.53 Mn |
| Dec 31, 2021 | 185.65 Mn |
| Sep 30, 2021 | 174.15 Mn |
Globus Maritime Assets 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=assets&ticker=GLBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();