GasLog Partners (GLOP-PA) Total Liabilities (2013 - 2026)
GasLog Partners (GLOP-PA) posted Total Liabilities of $79.06 million for Q3 2026, down 35.1% from $121.81 million a year earlier and down 11.4% from the prior quarter.
GasLog Partners (GLOP-PA) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, GasLog Partners' Total Liabilities came in at $107.47 million, down 28.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -40.0% (FY2020 to FY2025).
- In prior years, GasLog Partners' Total Liabilities was $149.41 million in FY2024 (+2.5%), $145.82 million in FY2023 (-86.2%), $1.05 billion in FY2022 (-13.0%) and $1.21 billion in FY2021 (-12.1%).
- The Q3 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q4 2013.
- On a year-over-year basis, Total Liabilities has declined in each of the last six quarters, with an average decline of 16.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2023, with growth of 246.7%; the weakest was Q3 2024, with a decline of 95.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $89.18 million (Q2 2026), $108.92 million (Q1 2026) and $107.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 50.59 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 57.69 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 30.82 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 30.08 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 67.29 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 29.22 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 63.54 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 67.37 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 1.22 Bn |
| 10 | GasLog Partners | 910.98 Mn | 896.77 Mn | 39.79 Mn | 79.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.06 Mn |
| Jun 30, 2026 | 89.18 Mn |
| Mar 31, 2026 | 108.92 Mn |
| Dec 31, 2025 | 107.47 Mn |
| Sep 30, 2025 | 121.81 Mn |
| Jun 30, 2025 | 119.47 Mn |
| Mar 31, 2025 | 138.80 Mn |
| Dec 31, 2024 | 149.41 Mn |
| Sep 30, 2024 | 158.18 Mn |
| Jun 30, 2024 | 124.02 Mn |
| Mar 31, 2024 | 136.86 Mn |
| Dec 31, 2023 | 145.82 Mn |
| Sep 30, 2023 | 3.75 Bn |
| Jun 30, 2023 | 968.06 Mn |
| Mar 31, 2023 | 980.93 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 1.08 Bn |
| Jun 30, 2022 | 1.16 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 1.21 Bn |
GasLog Partners 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=GLOP-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GLOP-PA", "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=GLOP-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();