Globus Maritime (GLBS) Total Liabilities (2009 - 2026)
Globus Maritime's Total Liabilities came in at $112.96 million for the quarter ended Jun 30, 2026, down 17.1% from $136.31 million a year earlier and down 0.5% from the prior quarter.
Globus Maritime (GLBS) Total Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Globus Maritime's Total Liabilities was $112.83 million, down 22.0% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 20.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $144.59 million in the year ended Dec 31, 2024 (+160.8%), $55.43 million in the year ended Dec 31, 2023 (+1.2%), $54.76 million in the year ended Dec 31, 2022 (+39.6%) and $39.23 million in the year ended Dec 31, 2021 (-11.5%).
- The five-year range for quarterly Total Liabilities is $36.73 million (the quarter ended Jun 30, 2022) to $144.59 million (the quarter ended Dec 31, 2024).
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with growth averaging 51.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Dec 31, 2024 (growth of 160.8%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 22.0%).
- Business Quant data shows GLBS's Total Liabilities at $113.57 million (quarter ended Mar 31, 2026), $112.83 million (quarter ended Dec 31, 2025) and $116.02 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Globus Maritime | 75.54 Mn | -33.38 Mn | 14.40 Mn | 112.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.96 Mn |
| Mar 31, 2026 | 113.57 Mn |
| Dec 31, 2025 | 112.83 Mn |
| Sep 30, 2025 | 116.02 Mn |
| Jun 30, 2025 | 136.31 Mn |
| Mar 31, 2025 | 141.07 Mn |
| Dec 31, 2024 | 144.59 Mn |
| Sep 30, 2024 | 101.68 Mn |
| Jun 30, 2024 | 77.37 Mn |
| Mar 31, 2024 | 57.56 Mn |
| Dec 31, 2023 | 55.43 Mn |
| Sep 30, 2023 | 58.30 Mn |
| Jun 30, 2023 | 45.20 Mn |
| Mar 31, 2023 | 50.88 Mn |
| Dec 31, 2022 | 54.76 Mn |
| Sep 30, 2022 | 51.72 Mn |
| Jun 30, 2022 | 36.73 Mn |
| Mar 31, 2022 | 37.03 Mn |
| Dec 31, 2021 | 39.23 Mn |
| Sep 30, 2021 | 37.90 Mn |
Globus Maritime Total Liabilities 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=total-liabilities&ticker=GLBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();