Golar Lng (GLNG) Price to Book (2009 - 2023)
Golar Lng's Price to Book was 0.92 in the quarter ended Dec 31, 2023, up 9.6% from 0.84 a year earlier.
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Analysis
Golar Lng (GLNG) Price to Book (2009 - 2023) Analysis & Trends
From the quarter ended Mar 31, 2009 onward, Golar Lng has reported Price to Book for 43 quarters.
- In earlier years, Price to Book was 0.84 in the year ended Dec 31, 2022 (+36.8%), 0.62 in the year ended Dec 31, 2021 (-5.2%), 0.65 in the year ended Dec 31, 2020 (-21.0%) and 0.82 in the year ended Dec 31, 2019 (-51.3%).
- The figure for the quarter ended Dec 31, 2023 marks the highest quarterly Price to Book since the quarter ended Mar 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enbridge | 101.53 Bn | 99.08 Bn | 4.84 Bn |
| 2 | Enterprise Products Partners | 76.92 Bn | 75.35 Bn | - |
| 3 | Energy Transfer | 67.97 Bn | 61.41 Bn | 7.40 Bn |
| 4 | Kinder Morgan | 67.10 Bn | 68.05 Bn | 3.07 Bn |
| 5 | Tc Energy | 60.19 Bn | 63.26 Bn | 2.81 Bn |
| 6 | Targa Resources | 57.97 Bn | 57.59 Bn | 2.14 Bn |
| 7 | Mplx | 57.16 Bn | 50.72 Bn | 2.91 Bn |
| 8 | Cheniere Energy | 55.61 Bn | 55.74 Bn | 5.29 Bn |
| 9 | Oneok | 53.75 Bn | 52.24 Bn | 2.81 Bn |
| 10 | Golar Lng | 4.81 Bn | 1.07 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 0.92 |
| Dec 31, 2022 | 0.84 |
| Dec 31, 2021 | 0.62 |
| Dec 31, 2020 | 0.65 |
| Dec 31, 2019 | 0.82 |
| Mar 31, 2019 | 1.26 |
| Dec 31, 2018 | 1.76 |
| Sep 30, 2018 | 1.36 |
| Jun 30, 2018 | 1.75 |
| Mar 31, 2018 | 1.64 |
| Dec 31, 2017 | 2.29 |
| Sep 30, 2017 | 1.33 |
| Jun 30, 2017 | 1.28 |
| Mar 31, 2017 | 1.54 |
| Sep 30, 2016 | 1.05 |
| Jun 30, 2016 | 0.85 |
| Mar 31, 2016 | 0.94 |
| Sep 30, 2015 | 1.31 |
| Jun 30, 2015 | 1.99 |
| Mar 31, 2015 | 1.39 |
API Access
Golar Lng Price to Book 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=price-to-book&ticker=GLNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "GLNG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=GLNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();