Golar Lng (GLNG) Asset Writedowns and Impairment (2009 - 2024)
Golar Lng (GLNG) recorded Asset Writedowns and Impairment of $22.93 million in the quarter ended Dec 31, 2024.
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Analysis
Golar Lng (GLNG) Asset Writedowns and Impairment (2009 - 2024) Analysis & Trends
Starting with the quarter ended Dec 31, 2009, Golar Lng's Asset Writedowns and Impairment history includes 12 quarters.
- Across earlier years, Asset Writedowns and Impairment came in at $5.02 million in the year ended Dec 31, 2023 (-93.4%) and $76.16 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2024 is the highest quarterly Asset Writedowns and Impairment since the quarter ended Mar 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enbridge | 100.40 Bn | 97.94 Bn | 4.84 Bn |
| 2 | Williams Companies | 86.28 Bn | 85.00 Bn | 2.54 Bn |
| 3 | Enterprise Products Partners | 78.15 Bn | 76.58 Bn | - |
| 4 | Energy Transfer | 70.55 Bn | 63.99 Bn | 7.40 Bn |
| 5 | Kinder Morgan | 69.13 Bn | 70.08 Bn | 3.07 Bn |
| 6 | Tc Energy | 61.50 Bn | 64.57 Bn | 2.81 Bn |
| 7 | Targa Resources | 60.39 Bn | 60.01 Bn | 2.14 Bn |
| 8 | Mplx | 57.19 Bn | 50.75 Bn | 2.91 Bn |
| 9 | Cheniere Energy | 55.74 Bn | 55.87 Bn | 5.29 Bn |
| 10 | Golar Lng | 4.99 Bn | 1.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 22.93 Mn |
| Sep 30, 2022 | -45,000.00 |
| Jun 30, 2020 | -34.25 Mn |
| Mar 31, 2020 | 34.25 Mn |
| Dec 31, 2019 | 501,000.00 |
| Sep 30, 2019 | 75.85 Mn |
| Jun 30, 2019 | -5.15 Mn |
| Mar 31, 2019 | 24.40 Mn |
| Dec 31, 2015 | 925,000.00 |
| Dec 31, 2009 | -1.50 Mn |
API Access
Golar Lng 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=GLNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GLNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();