GasLog Partners (GLOP-PA) Capital Expenditures (2019)
GasLog Partners' Capital Expenditures was $16.1 million in the year ended Dec 31, 2025, up 89.9% from $8.48 million a year earlier.
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Analysis
GasLog Partners (GLOP-PA) Capital Expenditures (2019) Analysis & Trends
From the year ended Dec 31, 2015 onward, GasLog Partners has reported Capital Expenditures for 11 years.
- Capital Expenditures shows a five-year compound annual growth rate of -7.4% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 marks the highest annual Capital Expenditures since the year ended Dec 31, 2021.
- Per Business Quant data, Capital Expenditures in earlier years was $8.48 million in the year ended Dec 31, 2024 (-44.1%), $15.17 million in the year ended Dec 31, 2023 (+499.8%), $2.53 million in the year ended Dec 31, 2022 (-87.0%) and $19.44 million in the year ended Dec 31, 2021 (-17.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 873.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 439.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -551.77 Mn |
| 10 | GasLog Partners | 406.05 Mn | 391.51 Mn | - | - |
API Access
GasLog Partners Capital Expenditures 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=capital-expenditures&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();