Globus Maritime (GLBS) EBITDA (2014 - 2026)
Globus Maritime's EBITDA came in at $5.63 million for the quarter ended Jun 30, 2026, up 571.0% from $839,000 a year earlier but down 9.2% from the prior quarter.
Globus Maritime (GLBS) EBITDA (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Globus Maritime reported EBITDA of $18.69 million, up 82.8% year-over-year; for the year ended Dec 31, 2025, it came in at $9.41 million, down 28.4% from the prior year.
- Going back by year, EBITDA was $13.14 million in the year ended Dec 31, 2024, $569,000 in the year ended Dec 31, 2023 (-98.3%), $33.88 million in the year ended Dec 31, 2022 (+86.2%) and $18.19 million in the year ended Dec 31, 2021.
- The five-year range for quarterly EBITDA is -$2.57 million (the quarter ended Jun 30, 2023) to $13.82 million (the quarter ended Mar 31, 2022).
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 118.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Dec 31, 2023 (growth of 627.0%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 98.8%).
- Business Quant data shows GLBS's EBITDA at $6.2 million (quarter ended Mar 31, 2026), $3.85 million (quarter ended Dec 31, 2025) and $3.02 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) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.40 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Globus Maritime | 75.54 Mn | -33.38 Mn | 14.40 Mn | 5.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.63 Mn |
| Mar 31, 2026 | 6.20 Mn |
| Dec 31, 2025 | 3.85 Mn |
| Sep 30, 2025 | 3.02 Mn |
| Jun 30, 2025 | 839,000.00 |
| Mar 31, 2025 | 4.11 Mn |
| Dec 31, 2024 | 2.37 Mn |
| Sep 30, 2024 | 2.91 Mn |
| Jun 30, 2024 | 5.86 Mn |
| Mar 31, 2024 | 2.01 Mn |
| Dec 31, 2023 | 916,000.00 |
| Sep 30, 2023 | 1.60 Mn |
| Jun 30, 2023 | -2.57 Mn |
| Mar 31, 2023 | 632,000.00 |
| Dec 31, 2022 | 126,000.00 |
| Sep 30, 2022 | 6.35 Mn |
| Jun 30, 2022 | 13.58 Mn |
| Mar 31, 2022 | 13.82 Mn |
| Dec 31, 2021 | 10.54 Mn |
| Sep 30, 2021 | 6.63 Mn |
Globus Maritime EBITDA 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=ebitda&ticker=GLBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();