Globus Maritime (GLBS) Price to Earnings (2021 - 2026)
Globus Maritime's (GLBS) Price to Earnings stood at 9.59 in the quarter ended Jun 30, 2026, down 84.2% from the prior quarter.
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Analysis
Globus Maritime (GLBS) Price to Earnings (2021 - 2026) Analysis & Trends
For the year ended Dec 31, 2024, Globus Maritime's Price to Earnings came in at 3.51, down 83.1% from the prior year.
- Across earlier years, Price to Earnings came in at 20.69 in the year ended Dec 31, 2023, 1.78 in the year ended Dec 31, 2022 (-69.2%) and 5.78 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Price to Earnings since the quarter ended Dec 31, 2024.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 784.2% in the quarter ended Dec 31, 2023, against a decline of 74.7% in the quarter ended Dec 31, 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Globus Maritime | 75.54 Mn | -33.38 Mn | 14.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.59 |
| Mar 31, 2026 | 60.50 |
| Dec 31, 2024 | 3.51 |
| Sep 30, 2024 | 14.65 |
| Jun 30, 2024 | 8.22 |
| Mar 31, 2024 | 18.21 |
| Dec 31, 2023 | 13.88 |
| Sep 30, 2023 | 15.17 |
| Jun 30, 2023 | 6.32 |
| Mar 31, 2023 | 2.56 |
| Dec 31, 2022 | 1.57 |
| Sep 30, 2022 | 1.27 |
| Jun 30, 2022 | 1.71 |
| Mar 31, 2022 | 3.05 |
| Dec 31, 2021 | 4.71 |
API Access
Globus Maritime Price to Earnings 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=price-to-earnings&ticker=GLBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();