Globus Maritime (GLBS) Receivables (2009 - 2026)
Globus Maritime (GLBS) reported Receivables of $3.8 million for 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 (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Globus Maritime posted Receivables of $654,000, down 41.3% from the prior year.
- Receivables has a five-year compound annual growth rate of 33.7% (years ended Dec 2020 to Dec 2025).
- By year, Receivables came in at $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 ranks as the highest quarterly Receivables in data going back to the quarter ended Dec 31, 2009.
- Year over year, Receivables gained in two of the last six quarters, with growth averaging 10.5%.
- The high point for year-over-year Receivables in five years was the quarter ended Dec 31, 2023 (growth of 956.0%); the low point was the quarter ended Dec 31, 2022 (a decline of 89.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 2.13 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.46 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.63 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 10.71 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.18 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 12.67 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 4.31 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 618.02 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 111.35 Mn |
| 10 | Globus Maritime | 75.54 Mn | -33.38 Mn | 14.40 Mn | 3.80 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 | -407,000.00 |
| 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 | 3.25 Mn |
| Jun 30, 2022 | 2.49 Mn |
| Mar 31, 2022 | 915,000.00 |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | 713,000.00 |
Globus Maritime Receivables 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&ticker=GLBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();