GasLog Partners (GLOP-PA) Exchange Rate Effect (2018 - 2023)
GasLog Partners (GLOP-PA) posted Exchange Rate Effect of -$4.12 million for the year ended Dec 31, 2024, compared with $306,000 a year earlier.
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Analysis
GasLog Partners (GLOP-PA) Exchange Rate Effect (2018 - 2023) Analysis & Trends
Since the year ended Dec 31, 2014, GasLog Partners has reported Exchange Rate Effect for 10 years.
- The figure for the year ended Dec 31, 2024 stands as the lowest annual Exchange Rate Effect since the year ended Dec 31, 2019.
- Business Quant data shows GLOP-PA's Exchange Rate Effect at $306,000 in the year ended Dec 31, 2023 (-55.6%), $689,000 in the year ended Dec 31, 2022 (-98.4%) and $41.79 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 17.35 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | -13.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -2.79 Mn |
| 10 | GasLog Partners | 406.05 Mn | 391.51 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 35,000.00 |
| Mar 31, 2023 | 244,000.00 |
| Dec 31, 2022 | 1.55 Mn |
| Dec 31, 2021 | 35.32 Mn |
| Dec 31, 2019 | 31.06 Mn |
| Dec 31, 2018 | -37.10 Mn |
| Sep 30, 2018 | 28.83 Mn |
API Access
GasLog Partners Exchange Rate Effect 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=exchange-rate-effect&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();