Globus Maritime (GLBS) Receivables - Net (2009 - 2026)
Globus Maritime's Receivables - Net was $3.8 million in the quarter ended Jun 30, 2026, compared with -$407,000 a year earlier and up 108.8% from the prior quarter.
Globus Maritime (GLBS) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables - Net at Globus Maritime came in at $654,000, down 41.3% from the prior year.
- Receivables - Net shows a five-year compound annual growth rate of 33.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables - Net was $1.11 million in the year ended Dec 31, 2024 (-3.2%), $1.15 million in the year ended Dec 31, 2023 (+956.0%), $109,000 in the year ended Dec 31, 2022 (-89.1%) and $1 million in the year ended Dec 31, 2021 (+555.6%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Receivables - Net in data going back to the quarter ended Dec 31, 2009.
- Compared with a year earlier, Receivables - Net was higher in two of the last six quarters, with growth averaging 10.5%.
- The best year-over-year quarter for Receivables - Net over five years was the quarter ended Dec 31, 2023 (growth of 956.0%); the worst was the quarter ended Dec 31, 2022 (a decline of 89.1%).
- Per Business Quant data, GLBS's Receivables - Net in the three quarters before the quarter ended Jun 30, 2026 was $1.82 million (quarter ended Mar 31, 2026), $654,000 (quarter ended Dec 31, 2025) and $1.08 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.64 Bn | 165.17 Bn | - |
| 2 | Csx | 89.23 Bn | 85.44 Bn | - |
| 3 | United Parcel Service | 83.93 Bn | 60.82 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.17 Bn | 76.19 Bn | - |
| 5 | Norfolk Southern | 73.24 Bn | 67.89 Bn | - |
| 6 | Fedex | 70.88 Bn | 36.83 Bn | - |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - |
| 8 | Old Dominion Freight Line | 39.08 Bn | 38.34 Bn | - |
| 9 | United Airlines Holdings | 31.73 Bn | -24.65 Bn | - |
| 10 | Globus Maritime | 62.87 Mn | -46.05 Mn | 9.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.80 Mn |
| Mar 31, 2026 | 1.82 Mn |
| Dec 31, 2025 | 654,000.00 |
| Sep 30, 2025 | 1.08 Mn |
| Jun 30, 2025 | 1.52 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 1.11 Mn |
| Sep 30, 2024 | 406,000.00 |
| Jun 30, 2024 | 112,000.00 |
| Mar 31, 2024 | 1.88 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 906,000.00 |
| Jun 30, 2023 | 611,000.00 |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 109,000.00 |
| Sep 30, 2022 | 2.92 Mn |
| Jun 30, 2022 | 2.15 Mn |
| Mar 31, 2022 | 915,000.00 |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | 377,000.00 |
Globus Maritime Receivables - Net 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=receivables-net&ticker=GLBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();