GasLog Partners (GLOP-PA) Change in Accured Expenses (2014 - 2015)
GasLog Partners (GLOP-PA) recorded Change in Accured Expenses of $6.58 million in the year ended Dec 31, 2025, compared with -$9.54 million a year earlier.
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Analysis
GasLog Partners (GLOP-PA) Change in Accured Expenses (2014 - 2015) Analysis & Trends
Starting with the year ended Dec 31, 2013, GasLog Partners' Change in Accured Expenses history includes 13 years.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 52.1% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual Change in Accured Expenses since the year ended Dec 31, 2016.
- Per Business Quant data, GLOP-PA's Change in Accured Expenses was -$9.54 million in the year ended Dec 31, 2024, -$3.27 million in the year ended Dec 31, 2023, $3.18 million in the year ended Dec 31, 2022 (+34.6%) and $2.37 million in the year ended Dec 31, 2021 (+192.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 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 | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 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 | GasLog Partners | 403.32 Mn | 388.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -120,000.00 |
| Sep 30, 2015 | -737,592.00 |
| Jun 30, 2015 | -5.10 Mn |
| Mar 31, 2015 | 5.88 Mn |
| Dec 31, 2014 | 7.20 Mn |
API Access
GasLog Partners Change in Accured Expenses 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=change-in-accured-expenses&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();