GasLog Partners (GLOP-PA) EV to EBITDA (2017 - 2023)
GasLog Partners' (GLOP-PA) EV to EBITDA stood at 4.51 in the year ended Dec 31, 2025, up 30.7% from 3.45 a year earlier.
Analysis
GasLog Partners (GLOP-PA) EV to EBITDA (2017 - 2023) Analysis & Trends
Starting with the year ended Dec 31, 2017, GasLog Partners' EV to EBITDA history includes 8 years.
- The figure for the year ended Dec 31, 2025 is the highest annual EV to EBITDA since the year ended Dec 31, 2022.
- Per Business Quant data, GLOP-PA's EV to EBITDA was 3.45 in the year ended Dec 31, 2024, 7.17 in the year ended Dec 31, 2022 (-6.3%) and 7.65 in the year ended Dec 31, 2021 (+175.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 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 |
| 10 | GasLog Partners | 406.05 Mn | 391.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 2.03 |
| Dec 31, 2022 | 5.33 |
| Sep 30, 2022 | 2.87 |
| Jun 30, 2022 | 8.62 |
| Mar 31, 2022 | 7.91 |
| Dec 31, 2021 | 7.65 |
| Sep 30, 2021 | 4.43 |
| Jun 30, 2021 | 4.53 |
| Mar 31, 2021 | 4.30 |
| Dec 31, 2020 | 2.78 |
| Sep 30, 2020 | 6.22 |
| Jun 30, 2020 | 5.68 |
| Mar 31, 2020 | 2.92 |
| Dec 31, 2019 | 6.77 |
| Sep 30, 2019 | 3.41 |
| Jun 30, 2019 | 3.34 |
| Mar 31, 2019 | 3.30 |
| Dec 31, 2018 | 2.77 |
| Sep 30, 2018 | 3.18 |
| Jun 30, 2018 | 3.41 |
API Access
GasLog Partners EV to EBITDA 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=ev-to-ebitda&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GLOP-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();