GasLog Partners (GLOP-PA) Asset Writedowns and Impairment (2020 - 2023)
GasLog Partners' Asset Writedowns and Impairment was $93.44 million in FY2025, up 977.2% from $8.67 million in FY2024.
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Analysis
GasLog Partners (GLOP-PA) Asset Writedowns and Impairment (2020 - 2023) Analysis & Trends
From FY2019 onward, GasLog Partners has reported Asset Writedowns and Impairment for 7 years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Asset Writedowns and Impairment since FY2021.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $8.67 million in FY2024, $142,000 in FY2023 (-99.6%), $32.47 million in FY2022 (-68.8%) and $103.98 million in FY2021 (+334.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 175.32 Bn | 167.57 Bn | - |
| 2 | United Parcel Service | 94.41 Bn | 71.23 Bn | - |
| 3 | Csx | 92.11 Bn | 87.33 Bn | - |
| 4 | Canadian Pacific Kansas City | 82.90 Bn | 81.93 Bn | - |
| 5 | Fedex | 75.65 Bn | 41.84 Bn | - |
| 6 | Norfolk Southern | 73.02 Bn | 67.48 Bn | - |
| 7 | Delta Air Lines | 59.68 Bn | 41.87 Bn | - |
| 8 | United Airlines Holdings | 38.90 Bn | -18.80 Bn | - |
| 9 | Old Dominion Freight Line | 35.16 Bn | 34.00 Bn | - |
| 10 | GasLog Partners | 917.40 Mn | 903.20 Mn | 39.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 284,000.00 |
| Mar 31, 2023 | -142,000.00 |
| Dec 31, 2022 | 4.44 Mn |
| Sep 30, 2022 | -28.03 Mn |
| Jun 30, 2022 | -28.03 Mn |
| Dec 31, 2020 | -5.08 Mn |
| Sep 30, 2020 | -18.84 Mn |
| Jun 30, 2020 | -18.84 Mn |
API Access
GasLog Partners Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();