Flex LNG (FLNG) Change in Accured Expenses (2018 - 2022)
Flex LNG (FLNG) reported Change in Accured Expenses of $3.26 million for the quarter ended Jun 30, 2022, up 52.7% from $2.13 million a year earlier.
Flex LNG (FLNG) Change in Accured Expenses (2018 - 2022) Analysis & Trends
Over the twelve months ended Jun 30, 2022, Flex LNG's Change in Accured Expenses came in at $3.39 million, down 64.8% year-over-year; for the year ended Dec 31, 2021, it came in at -$1.12 million.
- By year, Change in Accured Expenses came in at $5.29 million in the year ended Dec 31, 2020 and $5.59 million in the year ended Dec 31, 2018.
- The figure for the quarter ended Jun 30, 2022 ranks as the highest quarterly Change in Accured Expenses since the quarter ended Dec 31, 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Flex LNG | 1.69 Bn | 340.44 Mn | 72.59 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 3.26 Mn |
| Dec 31, 2021 | 1.31 Mn |
| Sep 30, 2021 | -3.31 Mn |
| Jun 30, 2021 | 2.13 Mn |
| Dec 31, 2020 | 4.02 Mn |
| Sep 30, 2020 | 4.94 Mn |
| Jun 30, 2020 | -1.46 Mn |
| Mar 31, 2020 | -1.63 Mn |
| Sep 30, 2019 | -1.48 Mn |
| Jun 30, 2019 | 1.80 Mn |
| Mar 31, 2019 | -2.01 Mn |
| Dec 31, 2018 | 1.28 Mn |
| Mar 31, 2018 | 1.48 Mn |
Flex LNG Change in Accured Expenses 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=change-in-accured-expenses&ticker=FLNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FLNG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=FLNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();